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We are partnering with a leading and rapidly scaling global business AI platform. They are looking to hire a Marketing Operations Manager into their team in London. \n \n Client Details \n The company are a leading professional services AI platform who are scaling globally, investing in systems, data and operating models that enable their marketing team to make better decisions and drive more predictable revenue. \n The role will sit within Revenue Operations, with a close working relationship with the Marketing team. You will ensure the company's marketing data, systems and reporting are reliable, connected and useful, while helping the team understand what is working and where they should invest. \n \n Description \n Responsibilities of the Marketing Operations Manager: \n\n • Build and maintain the systems and processes that support a high-performing marketing organisation\n, • Improve the quality and consistency of marketing data, creating a trusted source of truth for performance reporting\n, • Connect marketing activity to the wider customer journey, working with the wider Revenue Operations team to improve visibility from initial engagement through to pipeline, revenue and account expansion\n, • Leverage HubSpot's full suite of Marketing Ops capabilities, such as lead scoring, multi-touch attribution and custom events, to deliver deeper understanding and recommendations for the Marketing function\n, • Expand current enrichment and segmentation tooling to improve Marketing's ability to tailor outreach content and timing\n, • Improve lead assignment to be smarter and timelier, providing sales with the context they need to make the first outreach as successful as possible\n, • Develop reporting and analysis that helps Marketing understand performance and make better investment decisions across campaigns, channels and events\n, • Work with marketing leaders and campaign owners to ensure major initiatives are set up, tracked and optimized effectively\n, • Turn marketing data into clear recommendations, helping the team identify trends and make more informed decisions\n, • Improve marketing operations through clear processes, automations and internal tools, including revenue intelligence and AI-enabled workflows\n, • Act as a proactive partner to Marketing, bringing ideas and helping shape the function as Luminance grows\n\n \n Profile \n The successful candidate for the Marketing Operations Manager role: \n\n • 4-5+ years of experience in marketing operations, revenue operations, marketing analytics or a related role\n, • Strong experience with HubSpot and marketing data management\n, • An understanding of how marketing connects with sales, customer success and the wider revenue organization\n, • Experience working within/with RevOps, ensuring Marketing Operations infrastructure, systems and processes naturally align with operations across all revenue teams\n, • Experience working in a B2B SaaS or technology business\n, • Experience building or improving marketing operations in a growing or changing organization\n, • Strong analytical skills and the ability to turn data into clear commercial recommendations\n, • A proactive, curious and commercially minded approach\n, • The confidence to work with senior stakeholders and contribute a point of view\n, • Someone excited to combine strategic thinking with hands-on execution\n, • Experience with internal tools, automation or AI-enabled workflows would be valuable\n\n \n Job Offer \n Competitive

A-Level Computer Science Teacher - Lewisham - MPS/UPS - November 2026 Start - Temporary Are you a qualified Computer Science Teacher with a passion for bringing the past to life for young people? Can you deliver engaging and challenging Computer Science lessons across KS5 inspiring students to develop critical thinking and analytical skills? If so, this is the role for you! Computer Science Teacher - The Role An ambitious and high-achieving secondary school in Lewisham is seeking an enthusiastic Computer Science Teacher to join its dedicated Computer Science department from October 2026 on a temporary contract. The role involves teaching Computer Science across KS5, with opportunities to play an active role in shaping the curriculum and supporting a range of enrichment initiatives. Whether you are an ECT beginning your teaching career or an experienced educator looking for a new challenge, the school provides outstanding support, professional development and opportunities for long term career growth. CONTRACT DETAILS · Location - Lewisham · Position - Computer Science Teacher · Type of work - KS3/KS4 Computer Science Teacher · Contract or position start date - 2nd November 2026 · Duration / Likely Duration - 4 terms until end of the academic year July 2027 (possible to extend to a permanent contract) · Contract type (temp/perm/temp to perm) - Temporary to permanent · Full time/part time - Full time · Minimum rate of pay - match to pay scale · Hours - 8:00am - 15:00pm, plus parents evenings If you believe this Computer Science Teacher role is for you, APPLY Now, or contact Tommy at Prospero Teaching

Lead the Past. Influence the Future Job Title:\n Teacher - Business and Economics Location:\n Mount House School, Hadley Wood, EN4 0NJ Salary:\n Up to £46,171.35 per annum (depending on experience, not pro rata) Hours:\n 40 hours per week | Monday to Friday Contract:\n Permanent | Term Time Only Start:\n January 2027 \n Note: UK applicants only. This role does not offer sponsorship. About the School\n Welcome to Mount House School, a nurturing co-educational day school located in the heart of Barnet, North London. With a maximum of sixty students per year group, we ensure that every child is known, cherished, and challenged, allowing them to flourish both academically and in co-curricular activities. \n Set in a stunning Georgian house opposite Hadley Common, our school combines the tranquility of the countryside with easy access to London's vibrant cultural scene. Since 1940, education has been at the core of our mission, and since becoming fully co-educational in 2022, we have continued to foster a community that values individuality, creativity, and academic ambition. \n At Mount House, we pride ourselves on exceptional pastoral care and a "small is beautiful" ethos, where strong relationships and personalized support empower every student to reach their full potential. Our vision—Be You. Belong. Become.—is grounded in the values of authenticity, confidence, community, compassion, aspiration, and growth. Role Purpose\n We are on the lookout for an inspiring educator to join our vibrant teaching community. As a Teacher of Business and Economics, you will play a pivotal role in helping students develop the knowledge, confidence, and critical thinking skills essential for success in an ever-evolving world. \n This is a fantastic opportunity for a talented teacher to deliver engaging lessons, contribute to a dynamic curriculum, and support students both academically and personally. You will teach across Key Stages 4 and 5, fostering a love of learning and helping students achieve outstanding outcomes. What You Will Be Doing\n\n • Deliver engaging and inspiring Business and Economics lessons that motivate students to reach their full potential.\n, • Plan, prepare, and assess learning effectively, using data to track progress and enhance achievement.\n, • Create a positive, inclusive, and well-managed learning environment that supports student wellbeing and success.\n, • Act as a Form Tutor, providing guidance, support, and regular communication with parents and carers.\n, • Lead and promote Business and Economics enrichment opportunities, clubs, and educational trips.\n, • Contribute to curriculum development, ensuring teaching resources and schemes of work remain innovative and up to date.\n, • Participate fully in the wider life of the school, including events, meetings, option evenings, and co-curricular activities.\nWhat You Will Bring\n\n, • QTS or equivalent teaching qualifications.\n, • Experience teaching Business and/or Economics within a secondary setting.\n, • Strong understanding of effective teaching, learning, and assessment.\n, • Up-to-date subject knowledge and a passion for curriculum development.\n, • Ability to analyze and use student data to improve outcomes and inform planning.\n, • Excellent communication, organizational, and interpersonal skills.\n, • Commitment to professional development and educational excellence.\n, • Ability to inspire, motivate, and engage students of all abilities.\n, • Value teamwork, collaboration, and building positive relationships across the school community.\nAbout Blenheim Schools\n Blenheim Schools is a growing family of innovative, high-quality independent schools dedicated to enabling outstanding futures for every student. Our ethos revolves around truly understanding each child, their talents, character, and aspirations, providing a personalized, ambitious education that helps every child thrive. \n We deliver a broad, enriching curriculum supported by tailored teaching and exceptional pastoral care. We celebrate individuality, nurture confidence, and champion every learner so they can discover their strengths and achieve their potential. \n Joining Blenheim Schools means becoming part of a collaborative, forward-thinking community that values creativity, inclusion, and professional growth. Our teams are united by a shared belief in the transformative power of education and a commitment to delivering outstanding experiences for students and families. \n We are proud to be part of Outcomes First Schools, which was officially certified as a Great Place to Work® for the sixth consecutive year in 2025. How to Apply\n Ready to make a difference? Complete your application before the closing date! \n Note: We reserve the right to close the vacancy early if we receive a high volume of suitable applications. \n OFG Education is committed to a fair, thorough, and efficient recruitment process in line with Keeping Children Safe in Education. While we aim to keep applicants informed throughout, we do not accept liability for any loss of earnings or other associated costs incurred by applicants due to delays or changes in the compliance process. All stages of the compliance process are subject to necessary safeguarding checks and compliance with statutory requirements, which may affect timescales.

At Outcomes First Schools we believe in creating a better work life balance. Job Title: Learning Support Assistant 1:1 Location: Crookhey Hall, Cockerham, Lancaster, LA2 0HA Hours: 37.5 hours per week | Monday to Friday | 8.30am - 4pm Salary: £22,160.62 per annum (not pro rata) Contract: Permanent | Term Time Only Start: November 2026 UK applicants only – no sponsorship available About the Role At Crookhey Hall School, we believe the right support can transform a young person's future. We're looking for a dedicated 1:1 Learning Support Assistant to provide consistent, personalised support to a student, helping them overcome barriers, build confidence and achieve success both in and out of the classroom. This isn't just another support role. It's an opportunity to become one of the most important people in a student's educational journey. As their trusted adult, you'll build a strong, positive relationship that helps them feel safe, understood and ready to learn. Every day will bring opportunities to celebrate progress, encourage independence and make a genuine difference to their confidence, wellbeing and future outcomes. Whether you're supporting learning in the classroom, helping develop social skills, encouraging emotional regulation or participating in outdoor activities and educational visits, you'll play a vital role in helping one young person thrive. What you will be doing Providing dedicated 1:1 support throughout the school day. Helping a student access learning and engage positively in education. Building a trusting and supportive relationship that promotes confidence and self-esteem. Supporting emotional wellbeing, social development and positive behaviour. Adapting your approach to meet individual communication and learning needs. Encouraging independence, resilience and life skills. Working closely with teachers, therapists and the wider school team to deliver personalised support plans. Monitoring progress and celebrating achievements, no matter how small. Supporting participation in enrichment activities, outdoor learning and educational visits. Who We're Looking For What matters most is your ability to build meaningful relationships and your passion for helping young people succeed. GCSE English and Maths (or equivalent). A Full UK Driving Licence. A patient, caring and resilient approach. The ability to build positive, professional relationships with young people. Confidence to remain calm and consistent during challenging situations. Strong communication and teamwork skills. Reliability, professionalism and a commitment to safeguarding. A genuine desire to make a lasting difference in a young person's life. About Us Crookhey Hall School is a Social and Emotional Mental Health (SEMH) School which caters for boys and girls aged 10 - 17 years of age. We provide young people with an educational experience that will not only extend their academic and vocational social skills and abilities but will also promote personal growth and help to build self-esteem. In this way it is hoped that each individual will aspire to achieve their full potential, eventually leaving school with the determination to make a positive contribution to society in the years to come. Crookhey Hall School has a 15-acre setting in countryside south of Cockerham, near Lancaster. Due to the location, it would be beneficial for candidates to have a driving licence. The aim of the site is to provide enough support to unlock each student's potential so they can live fulfilling and productive lives. We provide young people with as much freedom as possible in a safe and supervised environment. This is achievable due to the dedication and support from a range of employed professionals who are passionate, reliable, and understanding. At Outcomes First Schools, we provide specialist education for learners who need a deeper level of understanding, expertise and support than mainstream education can typically offer. We support students with a wide range of complex, co-occurring and neurodivergent needs, including autism, ADHD, SEMH, speech and communication needs, dyslexia and experiences of trauma or adversity. We are proud to be a part of OFG Education who in 2025 were officially certified as a ‘Great Place to Work' for the sixth year running. Why Join Us? We place students and vulnerable young adults at the heart of everything we do, so every day brings the satisfaction of making a real difference. We are committed to the safeguarding and promoting the welfare of students and young people. All applicants will be subject to social media checks and successful applicants to a fully enhanced DBS. Life Assurance Pension scheme with options to increase contributions “Your Wellbeing Matters” – mental health support and physical health checks Flexible Benefits Platform (Vista), including: Health, wellbeing and insurance benefits Hundreds of UK and international discounts Cycle to Work Scheme & Electric Car Purchase Scheme Critical illness cover Family Growth Support, including enhanced maternity/paternity leave and paid fertility treatment support We reserve the right to close the vacancy early if we receive a high volume of suitable applications. OFG Education is committed to carrying out a fair, thorough and efficient recruitment process in line with Keeping Children Safe in Education. Whilst we aim to keep applicants informed throughout, OFG Education does not accept liability for any loss of earnings or other associated costs incurred by applicants as a result of delays or changes in the compliance process. All stages of the compliance process are subject to necessary safeguarding checks and compliance with statutory requirements, which may affect timescales . #1 TPBN1_UKTJ

\n Cover Supervisor - Tower Hamlets \n £95+ per day | Flexible Supply Work | Immediate Starts Available \n Prospero Teaching is recruiting Cover Supervisors for a highly regarded secondary school in Tower Hamlets. This long-established school has a strong reputation for academic excellence, student wellbeing, and empowering young people to achieve their full potential. With a thriving sixth form, excellent enrichment opportunities, and a commitment to transforming lives through education, it offers a supportive and ambitious learning environment. \n The Role: \n\n • Supervise classes during teacher absence\n, • Deliver pre-set work and keep students engaged\n, • Maintain a positive and productive learning environment\n, • Follow school behaviour and safeguarding policies\n, • Provide feedback to teaching staff\n\n Requirements: \n\n • Passion for education and supporting young people\n, • Minimum GCSE qualifications (or equivalent)\n, • Confident, reliable and professional approach\n, • Previous experience working with young people is desirable but not essential\n\n What We Offer: \n\n • Flexible full-time and part-time opportunities\n, • Free accredited CPD, including Safeguarding and Behaviour Management\n, • Ongoing support from our dedicated team\n, • £150 Refer-a-Friend bonus\n\n This is an excellent opportunity for graduates, aspiring teachers, youth workers, sports coaches, or anyone looking to gain valuable secondary school experience within a school that combines high academic expectations with strong pastoral care and extensive opportunities for student development. \n Apply today with your up-to-date CV. \n Prospero Teaching is acting as an employment business/education recruitment agency. Successful applicants will be subject to registration and compliance checks. \n

Help us to make a world of difference UL is looking for a 1-year fixed term contract Senior HRIS Analyst. This job is grade 15. Based at our Paddington Head Office, you will be accountable for managing the governance framework for global HR processes and data structures within the core HR module of our HRIS, SuccessFactors. As Senior HRIS Analyst, you will lead the change request process, driving continuous improvement while ensuring system functionality aligns with the HRIS roadmap and long-term business objectives. You will also take ownership of first-line support and the implementation of technical updates across the Employee Central and Performance modules. This includes testing, training, and leading the adoption of new functionality across local sites. Salary range is £54,516 - £64,136 + completion bonus Hours – 35 hours – Mon-Thurs 9-5, Fri 8:30-13:30 What you'll do: - Manages HRIS Change Governance Forum - Manages Data Dictionary - Determines the impact to the process within the system. - Acts as a bridge between local and global needs, ensuring that local requirements are incorporated where feasible without compromising consistent global ways of working - Ensures that all sites are adhering to the global ways of working - Maintains the Operating Procedure to clearly outline what processes are required and why they are processed in a certain way - Owns the work instructions to clearly outline how processes are required to be administered in the system. - Owns the technical workbooks for Employee Central. - Has detailed knowledge on the business rules set up in the system and how they work e.g. derivation logic, notifications, alerts - Responsible for determining requirements of process changes - Supports UAT for any system updates and providing a global template to support aligned communication of the changes / updates What do you need to thrive in this role? - Experience in HRIS governance, change management, and global process oversight - Strong understanding of HR data governance, data quality, and system-driven processes - Working knowledge of SuccessFactors Employee Central, including business rules and workflows - Experience operating in a global environment, balancing standardisation with local needs - Skilled in stakeholder engagement, requirements gathering, and supporting UAT and system releases - Ability to drive process improvement, adoption, and compliance across multiple sites - Experience creating clear documentation, training materials, and delivering knowledge transfer What can you expect from us? More than just a job, we offer a future. More than just a place to work, we provide an opportunity to prosper. You will receive: - Annual leave of 27 days per annum. - A generous bonus scheme based on achievement of personal and company objectives. - A defined contribution pension scheme: contributions start at 4% (employee) and 10% (employer). - Hybrid Working Pattern: up to three days working remotely on average per week. Flexible start and finish times, with a 1.30pm finish on Fridays. - Flexible benefits package including life assurance and income protection. In addition, you'll have an opportunity to purchase additional benefits that suit your lifestyle. - A diverse range of family friendly policies. - Paid time off for volunteering. - The opportunity to join our private medical and dental insurance schemes. - Education and training we take pride in helping people learn and develop by supporting, accelerating and directing your learning. As well as the completion of mandatory health and safety courses, training packages will be offered to meet your specific needs. Security vetting Due to the nature of the industry that Urenco operates in, all personnel regardless of employment status working for Urenco are required to obtain security clearance at the level required for their role. Security clearances are assessed in accordance with regulations and official guidance issued by the relevant competent authorities for national security vetting. In certain circumstances, additional enhanced security clearance considerations apply to roles within Urenco owing to the particular activities that the Urenco Group undertakes in relation to uranium enrichment. Successful candidates will need to satisfy security requirements, and all offers of appointment are made subject to the successful approval of all checks initiated. Creating a diverse and inclusive workforce As a truly global company with a presence in the UK, USA, Germany, and the Netherlands, we know that our individual differences make us stronger. Putting people at the heart of our business, we strive to create an open and inclusive workplace that allows every voice to be heard and diversity to thrive. If you require any reasonable adjustments to the recruitment process, please let our talent acquisition team know. Because together, we are one Urenco. We are enriching the world. And enriching your future. For further information, please contact Imogen Parr: (url removed)

Music Teacher – Full-Time, Temp-Perm Location: Harrow Salary: £39.196– £52,241 (depending on experience) Start Date: October About the School: We are proud to partner with a high-performing secondary school in Harrow, known for its inclusive ethos, commitment to staff development, and strong emphasis on both academic achievement and student wellbeing. The school is seeking a passionate and creative Music Teacher to join their vibrant music department. This full-time, temporary to permanent role is ideal for both experienced educators and Early Career Teachers (ECTs) looking to grow in a supportive and forward-thinking environment. The Role: As a Music Teacher, you will inspire students across Key Stages 3 to 5, fostering a love for performance, composition, and musical appreciation. You’ll play a key role in shaping the musical culture of the school through engaging lessons and extracurricular opportunities. Key Responsibilities: Teach Music across KS3–KS5, including GCSE and A-Level Plan and deliver dynamic, inclusive lessons that cater to a range of abilities Support students in developing performance and composition skills Lead or contribute to extracurricular activities such as ensembles, concerts, and school productions Collaborate with colleagues on curriculum development and enrichment projects Uphold the school’s values and contribute positively to the wider community What We’re Looking For: Qualified Teacher Status (QTS) or equivalent (preferred) Experience teaching Music in a secondary school setting Strong subject knowledge and enthusiasm for music education Ability to inspire and engage students of all backgrounds Excellent classroom management and communication skills Enhanced DBS on the Update Service (or willingness to apply) What the School Offers: A welcoming and collaborative music department Access to excellent facilities including a dedicated music suite and performance spaces A broad, well-resourced curriculum and strong student engagement Opportunities for professional development and career progression A positive, inclusive school culture with strong leadership Convenient location with good transport links and on-site parking How to Apply: If you’re ready to make a lasting impact through music education, apply now at (url removed) or click the ‘Apply Now’ button. For further information, please contact Jen Harrison on or email (url removed) Please note: Due to high volumes of applications, only shortlisted candidates will be contacted. Referral Bonus: Refer a teacher or teaching assistant and receive a £100 ‘Golden Hello’ once they complete their first placement. Contact us for details. Safeguarding Statement: Supply Desk is fully committed to safeguarding and promoting the welfare of children and young people. All applicants will be required to undergo an enhanced DBS check and comply with Safer Recruitment policies

Location: Southeast London & Surrounding Areas Salary: £16–£17 per hour, Depending on Experience Hours: Full-time, Term Time Only Start Date: ASAP Contract: Long-term / Temporary with potential for permanent opportunities School Settings: Secondary Schools About the Role Are you an experienced Science Technician looking for your next opportunity within education? Complete Classroom Services is currently recruiting for a reliable, organised and enthusiastic Science Technician to join supportive secondary schools across Southeast London and surrounding areas. This is an excellent opportunity for someone with relevant school-based Science Technician experience who enjoys working behind the scenes to support high-quality practical science lessons. You will play an important role in preparing laboratories, equipment and resources for lessons across Key Stages 3, 4 and 5, while working closely with teachers to ensure practical sessions run safely and effectively. Key Responsibilities Prepare and set up equipment, materials and chemicals for practical science lessons. Support teachers during practical lessons, demonstrations and experiments. Ensure laboratories are appropriately prepared before and after lessons. Safely store, maintain and dispose of laboratory equipment and chemicals. Follow COSHH, health and safety and school laboratory procedures at all times. Maintain clean, safe and well-organised laboratories and preparation areas. Monitor stock levels, maintain accurate inventories and assist with ordering resources. Carry out routine checks and basic maintenance of equipment. Prepare resources for examinations, practical assessments and science activities. Assist with science displays, open evenings, school events and enrichment activities. Work collaboratively with teaching staff and the wider science department. About You The successful candidate will ideally have: Previous relevant experience working as a Science Technician within a school setting – essential. Good knowledge of laboratory procedures and practical science equipment. An understanding of COSHH and laboratory health and safety requirements. Experience preparing materials and equipment for practical lessons. Excellent organisational and time-management skills. Strong attention to detail and a proactive approach to work. The ability to work effectively independently and as part of a team. Good communication skills and a professional approach when working with staff and students. A science-related qualification such as A-level, degree or equivalent would be desirable. Why Apply? Opportunities to work with welcoming and supportive schools across Southeast London. Competitive hourly rates of £16–£17 per hour, depending on experience. Full-time, term-time working opportunities. Long-term assignments with potential for permanent positions. Opportunities to build your experience within the education sector. Support from the Complete Classroom Services recruitment team throughout your placement. * Opportunities for professional development and future school-based roles. How to Apply If you have relevant school-based Science Technician experience and are looking for your next opportunity, we would love to hear from you. please apply for role with your updated CV

Computer Science Teacher – Southwark | Immediate Start A high-performing secondary school in Southwark is recruiting a Computer Science Teacher for an immediate start. This is an 11–19 setting where computing forms part of a broad academic curriculum from Year 7, giving the successful teacher the chance to develop pupils’ knowledge from the foundations upwards. The school was graded Outstanding by Ofsted in 2024, with the same judgement awarded for quality of education, behaviour and attitudes, and leadership and management. The post is open to teachers across the Main and Upper Pay Scales, making it suitable for an ECT or an experienced practitioner looking for an established Inner London school. Professional development is taken seriously here rather than treated as an occasional inset-day exercise. Staff, including teachers at the beginning of their careers, benefit from ongoing training and work within a close-knit, reflective professional culture. Leaders place clear emphasis on developing classroom practice while ensuring teachers have the support needed to manage workload effectively. As a Computer Science Teacher, you will therefore join a setting where subject knowledge, teaching quality and longer-term career development receive sustained attention. Key highlights: Role: Computer Science Teacher – full-time teaching position Salary: Inner London MPS1–6 / UPS1–3, £41,729–£64,684 Location: Southwark, Inner London Ofsted: Outstanding overall, including Outstanding quality of education and behaviour Contract: Full-time position Start: Immediate start Curriculum: Computer Science taught within the school’s academic curriculum from Year 7 Development: Ongoing training within an established professional development structure What you'll be doing: Teach Computer Science through carefully sequenced lessons that build secure subject knowledge Plan engaging units covering programming, computational thinking, digital concepts and relevant curriculum content Assess pupil understanding accurately and use the results to identify misconceptions and shape subsequent teaching Develop students’ confidence in approaching algorithms, coding and complex problem-solving independently Collaborate with colleagues on curriculum planning, assessment and the continued development of computing provision Contribute to the wider academic life of the school through enrichment, intervention or subject-related activities Ideal candidate for this Southwark school: Hold UK QTS and demonstrate secure knowledge of Computer Science Bring Good or Outstanding classroom practice, evidenced through observations, placements or recent teaching experience Demonstrate the ability to explain technical concepts clearly to pupils with different starting points Show strong expectations for behaviour, academic effort and the quality of pupils’ work Welcome feedback and engage thoughtfully with coaching and professional development Offer either ECT-level potential or an experienced track record of securing pupil progress Why join this Southwark school? Benefit from an Outstanding-rated school where behaviour and attitudes were also judged Outstanding Work within an 11–19 environment supporting pupils throughout secondary education and sixth form Access professional development designed to strengthen subject expertise and classroom practice Join a reflective staff culture where teachers receive ongoing training rather than relying solely on one-off development sessions Build your career in a school where leaders give serious attention to staff workload and professional growth Shape computing knowledge from Year 7 within a curriculum that includes Computer Science as part of pupils’ broader academic education How to apply: Shortlisting is underway now for this immediate-start Computer Science Teacher vacancy in Southwark. Submit your application via this listing to be considered for interview

Help us to make a world of difference Urenco is a global leader in the production of low carbon energy. We work at the cutting edge of the transition to a sustainable, net zero world. We’re looking for a Senior Lead Government Affairs EU & UK. Based at our Paddington site, you will engage externally with government officials, MPs, MEPs and trade associations to support Urenco’s commercial objectives. The role will primarily support the UK and EU Directors of Government Affairs in the development and delivery of government affairs strategies and stakeholder engagement activities, while ensuring the effective transfer of intelligence, analysis and policy insights to senior internal stakeholders. The successful candidate will have strong political acumen and stakeholder management skills, with an understanding of the geopolitical, regulatory, and policy factors shaping the energy sector. They will have a established knowledge of the EU institutions and Brussels policymaking environment, as well as Whitehall, Parliament and the wider UK political landscape. The role requires the ability to anticipate, analyse and interpret political, legislative and regulatory developments, providing clear strategic advice to senior business leaders on their implications for Urenco’s operations and commercial objectives. Experience of working in or closely with the Brussels policy environment would be a significant advantage. At Urenco we’re committed to giving you opportunities to be your best. If you feel you meet some, but not all of what we're looking for, please still apply. We believe in embracing the passion and potential of our people, and to achieve this we offer market leading training and development experiences. Along with the opportunity to be mentored and coached by some of the smartest minds in the industry. What you’ll do: To proactively engage on behalf of Urenco to shape policy development and new laws and regulations and political debates which touch on nuclear, energy policy, and URENCO in general. To provide updates to internal stakeholders (including to draft and present political reports to the Board) and to draft position papers for use with external stakeholders. To work closely and collaboratively with URENCO colleagues, especially in Communications, Legal, Commercial, and Government Affairs, and external advisers. To analyse developments relating to energy policy, industrial strategy, trade, geopolitics, non-proliferation, export controls, and nuclear regulation, translating these into business recommendation To learn and understand the various nuclear regulations that interact with Urenco’s business in the UK and the EU and to be able to work with the commercial teams to support their compliance. To deliver and provide input to EU wide government affairs projects, including REPowerEU Establish a creative, engaging, and proactive integrated external communications plan, including that the company’s public relations efforts in the EU are cohesive, consistent, and effective in supporting the overall mission and strategic goals. Advocate Urenco’s position through, among other means, meetings with industry stakeholders, representing the company at key forums and events and working with allied organisations and stakeholders to advance Urenco’s interests. Draft position papers, consultation responses, political updates, briefing notes, speeches, and reports for internal and external stakeholders, including Board-level reporting. Raise the profile of the company through project managing events (in-person, virtual and hybrid), securing high profile speaking opportunities and preparing keynote presentations and speeches. Promote the need for research and evaluation of communications activities, analysing the results and driving improvement and best practice. What do you need to thrive in this role? Experience working in Brussels and/or working in an international company (managing cross-border matters and projects) is helpful. Experience of working within the energy or nuclear sector or other ‘In-house’ government relations experience in a highly regulated sector Experience working in Whitehall or demonstrable level of working closely with UK government is helpful. Demonstrated ability to create targeted external communications, ideally with UK government officials and industry bodies. Management of internal and external stakeholders and external advisers Excellent Brussels understanding and network, including an understanding of political parties, their platforms and key decision-makers. Appreciation of public policy surrounding nuclear issues, Net Zero, COP conferences, trade policy, and the role of nuclear energy with renewables. Understanding and interest in politics and international relations An understanding of non-proliferation and export control regimes would be an advantage but is not essential. UK/Whitehall knowledge/experience an advantage What can you expect from us? More than just a job, we offer a future. More than just a place to work, we provide an opportunity to prosper. As an employee of Urenco you will receive: Annual leave of 27 days per annum. A generous bonus scheme based on achievement of personal and company objectives. A diverse range of family friendly policies. A defined contribution pension scheme: employer contributions up to 16% Hybrid Working Pattern: up to two days working remotely on average per week. Flexible start and finish times, with a 1.30pm finish on Fridays. Flexible benefits package; including life assurance and income protection. In addition, you’ll have an opportunity to purchase additional benefits that suit your lifestyle. Paid time off for volunteering. The opportunity to join our private medical and dental insurance schemes. Education and training; we take pride in helping people learn and develop by supporting, accelerating and directing your learning. As well as the completion of mandatory health and safety courses, training packages will be offered to meet your specific needs. Security vetting Due to the nature of the industry that Urenco operates in, all personnel regardless of employment status working for Urenco are required to obtain security clearance at the level required for their role. Security clearances are assessed in accordance with regulations and official guidance issued by the relevant competent authorities for national security vetting. In certain circumstances, additional enhanced security clearance considerations apply to roles within Urenco owing to the particular activities that the Urenco Group undertakes in relation to uranium enrichment. Successful candidates will need to satisfy security requirements, and all offers of appointment are made subject to the successful approval of all checks initiated. Creating a diverse and inclusive workforce As a truly global company with a presence in the UK, USA, Germany, and the Netherlands, we know that our individual differences make us stronger. Putting people at the heart of our business, we strive to create an open and inclusive workplace that allows every voice to be heard and diversity to thrive. If you require any reasonable adjustments to the recruitment process, please let our talent acquisition team know. Because together, we are one Urenco. We are enriching the world. And enriching your future

LexisNexis Intellectual Property Solutions seeks a Senior Data Discovery and Enrichment Expert III to independently lead complex data discovery and enrichment projects and to define methodologies underpinning SEP content expansion across our IPlytics and Protégé platforms. You will coordinate with Product, Engineering and Legal teams, establishing rigorous quality standards and governance while guiding AI-enabled capabilities to deliver high-accuracy SEP insights for valued customers. #J-18808-Ljbffr

Roblox provides a platform and tools for a global community to create immersive 3D digital experiences. Its vision is to bring people together through shared experiences and connect a billion people with optimism and civility. • Design, write, and maintain production-quality detections, automations, integrations, SOAR playbooks, and data and enrichment pipelines to scale monitoring and reduce manual toil, • Develop and improve global SIRT/SOC tooling for alert quality, enrichment, case-management integrations, automation, and reliable follow-the-sun hand-offs, • Act as the primary Incident Commander for the European time zone, making critical, time-sensitive decisions independently and serving as the senior-most security engineering contact in the region, • Shape the technical direction of detection and response engineering and architect optimized, automated global hand-offs and follow-the-sun models, • Lead serious security incident responses end-to-end, mitigate impacts, capture lessons learned, and turn them into durable, automated detections, • Investigate complex threats and proactively hunt for anomalous activity, distinguishing outliers from threats, • Collaborate with Security and Engineering to lead responses to major vulnerabilities and platform-wide events, • Work with Legal, HR, executive teams, external partners, developers, and customers, • Travel semi-regularly to the USA to visit headquarters and align with central engineering and security leadership, • 10+ Years across security engineering, InfoSec, IT, infrastructure/SRE, and/or incident response 7+ Years specifically in detection or response, with a track record of building and writing detections, automation, or security tooling; experience must extend beyond operating tools Ability to write and review production-quality code and build automations, integrations, and data pipelines Proven ability to work independently in satellite offices or distributed teams and make business-impacting decisions Extensive experience as an incident commander, coordinating responders and communicating status to leadership Expert-level threat investigation experience in enterprise and production environments, taking ownership from identification to resolution Deep understanding of SIEM, EDR, IDS/IPS, NDR, and SOAR tooling, and experience extending or building these tools Proficiency applying NIST IR Lifecycle, Cyber Kill Chain, and MITRE ATT&CK to real-world scenarios Extensive expertise across public cloud, operating systems, virtualization, containerization, networking, build/development infrastructure, and hardware Bachelor's degree in Computer Science, Cybersecurity, or a related technical field, or equivalent experience Comfortable taking ownership, identifying coverage gaps, handling complex issues, and making calculated decisions under pressure Будет плюсом: an advanced degree, • Work from a dedicated, private space within a shared office environment, • Office-based roles are onsite Tuesday, Wednesday, and Thursday, with optional presence on Monday and Friday, unless otherwise noted, • Semi-regular travel to the USA to visit headquarters #J-18808-Ljbffr

Intellectual ambition and academic scholarship lie at the heart of a King’s education, and we aim for every King’s pupil to be inspired to achieve their full academic potential. In line with this aim, each year the school employs a small number of graduates, doctoral and post‑doctoral researchers in a part‑time capacity as part of our academic enrichment programme. These roles, called King’s Rossetti Academics, are in honour of Dante Gabriel Rossetti, a former student of King’s who was an important figure in nineteenth‑century British art and poetry. Rossetti Day is an inter‑disciplinary workshop day for the lower sixth, and the Rossetti Society holds a series of lectures. The programme encourages pupils to explore subjects beyond the curriculum. The purpose of the King’s Rossetti Academics programme is to inspire our pupils in their academic studies by increasing their access to current, intellectually stimulating and specialist knowledge. We are currently inviting graduates, doctoral and postdoctoral researchers specialising in Physics & Engineering to apply to become a King’s Rossetti Academic. The King’s Rossetti Academic (Physics & Engineering) will support curricular and co‑curricular activities relating to Physics & Engineering, and assist pupils in making successful admission applications to university and related subjects. The precise nature of the role will be shaped in accordance with school needs to fit the strengths of the candidate(s) appointed, and we hope the appointed candidate will relish the opportunity to shape and extend our provision further. • Supplementing current departmental support to pupils with university applications., • Running subject extension sessions., • Providing feedback on draft personal statements., • Preparing pupils for admissions tests., • Conducting mock interviews., • Providing strategic advice on university applications., • Supporting the creation and delivery of academic enrichment resources, talks and activities within both the curriculum and co‑curriculum., • Supervising pupils in the research, writing and delivery of individual projects, such as King’s Essays., • Delivering pupil workshops as part of Rossetti Day in January and Curiosity Day in June., • Providing occasional support for our partnership and international schools. Employment will typically be 8 hours per week across one or two days, and so fit well alongside current research or study commitments. Required from: September 2026. • A good undergraduate and/or postgraduate degree in Physics & Engineering or a related subject., • A genuine interest in Physics & Engineering as a contemporary academic discipline; this may be expressed as a current doctoral or post‑doctoral researcher., • An ability to work well with others, and to demonstrate initiative., • Excellent communication, organisation and listening skills., • A desire to enrich the intellectual experience of pupils beyond the exam specifications, and to inspire and support pupils to flourish and reach their academic potential., • An understanding of the application process for the most competitive degree courses in the relevant subject area, and the ability and willingness to support pupils with their preparations for admissions tests and interviews., • Prior experience working in a secondary school environment., • A willingness to contribute to the school’s partnerships programme, for instance supporting our partnership with Harris Academy Wimbledon sixth form and/or our international schools programme., • A willingness to contribute to the school’s wider academic enrichment programme. To apply for this role, please register your details online via our website www.kcs.org.uk. Once you have registered, you can apply for vacancies by logging into the candidate area using your email address and chosen password. You will be asked to fill an online application form, upload a CV and provide a cover letter. This post is exempt from the Rehabilitation of Offenders Act (ROA) 1974. King’s is fully committed to safeguarding and promoting the welfare of children and expects all staff to share this commitment. Applicants will be required to undergo child protection screening appropriate to the post, including checks with past employers and the Disclosure and Barring Service. King’s College School is fully committed to the principles of equality, diversity and inclusivity in its recruitment of teaching and support staff. #J-18808-Ljbffr

Wholesale is a $50 trillion market still working the way it did in 1950. 90% of transactions happen offline, over calls, catalogues and trade shows, and a product passes through four or five layers of distributors and wholesalers before it reaches a store, with every party deciding on a fraction of the picture. By the time it hits the shelf, it costs roughly 40% more than the maker charged. That inefficiency tax runs into the trillions, and everyone pays it every time they buy anything. Qogita is building the operating system that replaces that chain: a single order book connecting the global market, the rails to move goods across borders, and a self-learning system that does every job once, against real-time data about the whole market. That puts data science at the core of the product. Forecasting reads what is actually selling in every market as it sells, a buyer’s basket is assembled from every available seller and split across the optimal combination, and every trade writes a record that sharpens the next price, allocation and route. It is a hard problem, spanning physical goods, thirty national regimes in Europe alone and buyers who are increasingly agents, and it is already working: 95% of transactions involve no human touch, and the business is doubling every year. You're a data scientist with strong quantitative and ML chops who can move between classical modelling, experimentation, and modern applied ML (including LLMs where they're the right tool). You'll own end-to-end data science work across Qogita's wholesale marketplace: framing ambiguous commercial problems, building models that ship, and keeping them healthy in production. The Data Science team partners with Product, Engineering, Finance, and Commercial to build the intelligence layer behind pricing, matching, demand, and product discovery. • Build and deliver data science solutions across the stack: predictive models, ranking, demand forecasting, segmentation, pricing, experimentation, and LLM-powered features, depending on where the business need is greatest, • Take ownership of business-critical ML systems end-to-end: problem framing, model design, deployment, monitoring, and ongoing maintenance in production, • Translate ambiguous business problems into tractable ML or statistical problems with clear success criteria, working closely with Product and Commercial, • Apply quantitative methods (regression, causal inference, classical ML, and deep learning where useful) to pricing, demand, liquidity, supplier matching, catalogue enrichment, and related marketplace problems, • Design and analyse experiments and A/B tests, owning statistical validity and turning results into recommendations teams can act on, • Collaborate with Engineers to ship models via reproducible MLOps workflows: experiment tracking, model serving, alerting, and production monitoring, • Communicate model choices, limitations, and trade-offs clearly to both engineers and non-technical stakeholders, • 3+ years as a data scientist, applied ML engineer, or quantitative analyst, with meaningful exposure across ML methods and statistical modelling, • A track record of owning models in production, not just building them: maintaining, monitoring, and iterating as live infrastructure, • Solid grounding in ML and stats fundamentals: probability, supervised and unsupervised learning, and measurement/validation discipline, • Strong Python and SQL; comfortable with large transactional datasets and common DS/ML libraries (e.g. pandas, scikit-learn, XGBoost, PyTorch or similar), • Experience collaborating on MLOps-style workflows (experiment tracking, serving, monitoring) and shipping with engineers, • Able to communicate uncertainty and model limitations clearly to technical and non-technical audiences, • Bachelor's or Master's in a quantitative field (Data Science, Statistics, Economics, Econometrics, Mathematics, CS, or related), or equivalent experience, • Pricing and market economics: price theory, buyer behaviour, demand estimation, causal inference, experimentation with real commercial stakes, • Production LLM systems: RAG, evaluation frameworks, prompt/fine-tuning trade-offs, transformers and major model families, LangChain or similar, • Marketplace or B2B dynamics; AWS/GCP/Azure ML infra; Airflow, Docker, dbt, Snowflake, Lightdash or similar #J-18808-Ljbffr

Data Governance Lead (SC Cleared) Location: London (Hybrid) Duration: 9 months Rate: £500 - £600/day (Outside IR35) Clearance: Active SC (Security Check) mandatory iO associates are partnering with a central government department in London to bring in an experienced Data Governance Lead for a major 9-month digital transformation programme. This is a hands‑on role where you'll be helping kick off the discovery phase, sitting down with business teams to map out key processes, and getting a clear inventory of existing data assets. You'll be designing and shaping data strategies, operating models, and workflows, while working directly with technical and business stakeholders to get metadata sorted, build out data lineage, and roll out data catalog tools. Beyond setting up the framework, you'll be hands‑on with data quality‑assessing issues, setting rules, creating metrics, and automating monitoring. You'll also touch upon Master Data Management (MDM) by helping refine cleansing, enrichment, and match/merge rules, as well as coaching and training data stewards so they can own the process long‑term. Experience: Active SC Clearance: Essential. Must be fully active, transferable, and valid at the start of the contract. Central Gov Experience: A strong background delivering data governance initiatives within central government departments or closely aligned public sector bodies. Tooling Expertise: Hands‑on experience working with modern data governance technologies (e.g., Microsoft Purview, Collibra, Databricks Unity Catalog, Alation, Atlan, or Ataccama). Framework & Metadata Experience: Proven track record defining data governance strategies, operating models, and organizing business/technical metadata through enterprise data management tools. Data Quality & MDM: Practical experience handling data quality rules, automation, and master data management solutions. Collaboration & Drive: A proactive, outcome‑focused approach with strong stakeholder management skills to bridge technical teams and business units. #J-18808-Ljbffr

At Ultralytics, we commit to relentless innovation in the AI space and seek team members who resonate with our ambition to produce the world's best YOLO AI models. If you're obsessed with AI, eager to make an impact on the world, and thrive in dynamic, high-intensity environments, we invite you to apply for a position on our team. This full-time LLM Engineer position is based at our brand-new Ultralytics office in London, UK, with a hybrid model of three days in-office and two days remote. Applicants must have legal authorization to work in the UK, as Ultralytics does not provide visa sponsorship. As an LLM Engineer at Ultralytics, you will spearhead the development and integration of advanced language model capabilities across our ecosystem. You will work on cutting-edge projects that merge the power of large language models (LLMs) with our state-of-the‑art computer vision technologies. Key responsibilities include: • Developing and scaling robust LLM-powered applications using a variety of APIs, including OpenAI, Anthropic, and Gemini., • Implementing and managing multi-API workflows using tools like LiteLLM to ensure flexibility and resilience., • Building sophisticated Retrieval-Augmented Generation (RAG) systems, leveraging advanced techniques like embeddings with Voyage AI, rerankers, and query enrichment., • Designing and maintaining efficient data pipelines and vector storage solutions using MongoDB Atlas Vector Search., • Fine-tuning LLMs on custom datasets to enhance performance for specialized tasks related to our documentation and user support., • Collaborating with our YOLO development team to explore and build innovative multimodal solutions., • Automating deployment and testing processes using CI/CD pipelines with GitHub Actions. Your work will directly enhance the Ultralytics Platform and empower our global community of developers and researchers. • 5+ years of experience in software engineering, with a strong focus on AI and machine learning (ML)., • Expert-level proficiency in Python and deep learning frameworks, particularly PyTorch., • Proven experience building and deploying applications with LLM APIs such as OpenAI, Anthropic, Gemini, and DeepSeek., • Hands-on experience with the full RAG pipeline, including vector embeddings, rerankers, and data indexing in databases like MongoDB., • Practical knowledge of LLM fine‑tuning, prompt engineering, and performance optimization., • Familiarity with MLOps principles and tools, including CI/CD with GitHub Actions., • A strong interest in computer vision and an understanding of object detection models like Ultralytics YOLO26 is a significant plus., • Excellent problem‑solving skills and the ability to perform in a fast‑paced, high‑intensity environment. Ultralytics is a high‑performance environment for world‑class talent obsessed with achieving extraordinary results. We operate at a relentless pace, demanding exceptional dedication and an unwavering commitment to excellence, guided by our mission, vision, and values. Our team thrives on audacious goals and absolute ownership. This is not a conventional workplace. If your priority is predictable comfort or a standard work‑life balance over the relentless pursuit of progress, Ultralytics is not for you. We seek driven individuals prepared for the profound personal investment required to make a defining contribution to the future of AI. • Competitive salary: Highly competitive based on experience., • Equity packages: Participate directly in our company's growth and success., • Hybrid flexibility: 3 days per week in our brand-new office — 2 days remote., • Generous time off: 24 days vacation, your birthday off, plus local holidays., • Flexible working hours: Tailor your working hours to suit your productivity., • Tech & tools: Engage with cutting‑edge AI projects and contribute to leading open‑source software., • Gear: Brand‑new Apple MacBook Air/Pro, Apple Studio Display, and AirPods Pro 3., • Team: Become part of a supportive and passionate team environment. Cutting‑Edge, Next‑Generation AI Computer Vision Technology: Contribute to building cutting‑edge computer vision AI models based on the YOLO framework. Impactful Work: Shape the future of AI‑powered solutions that transform industries. Collaborative Culture: Join a talented and passionate team that values open communication and innovation. Comprehensive guide to our company's mission, vision, values, and operational practices. This handbook is designed to provide key insights and resources for our (future) team members, collaborators, and community to align with Ultralytics' core principles. Link: Ultralytics is an equal opportunity employer committed to building an inclusive workplace. We believe that everyone should be able to bring their whole selves to work, and we do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability, or any other legally protected status. #J-18808-Ljbffr

As a Senior Security Consultant within a leading Managed Security Service Provider (MSSP) specialising in Microsoft Security Solutions, you will design, secure, and automate cloud‑native security platforms with a strong SecDevOps and AI‑driven approach. You will help shape the next generation of our managed security services by leveraging Microsoft security technologies, AI‑powered threat detection, and emerging agentic AI capabilities. You will apply both hands‑on and strategic expertise to transform our customers security posture across Microsoft cloud and on‑premises environments through modern architecture, design, deployment, and integration of Microsoft Security technologies. You will lead customer workshops, provide technical guidance to stakeholders of all levels, and support the adoption and continuous evolution of managed security services throughout the engagement lifecycle. As a Microsoft MISA and MXDR verified partner, you will also evaluate preview features and collaborate with Microsoft product managers to influence the development of security products. This role offers broad opportunities for growth, innovation, and development of subject matter expertise in a fast‑moving and dynamic industry. This role will Involve: • Design, develop and evolve MSSP-managed security services to support a 24/7 Security Operations Centre., • Implement automation—using AI and agentic frameworks—across monitoring, detection, incident response, remediation and configuration management in Microsoft Defender, Sentinel, and Azure security services., • Build reusable deployment templates (ARM/Bicep, Terraform), secure CI/CD pipelines, and automated workflows to improve service delivery., • Develop integration tooling using PowerShell, KQL, Logic Apps, Azure Functions, PowerApps, and Sentinel playbooks., • Contribute to continuous improvement, innovation, and the service roadmap for cloud-native, automated, and AI‑assisted security operations., • Design Microsoft security reference architectures for public, private, and hybrid cloud environments., • Apply Zero Trust principles and guide customers through gap analysis and implementation., • Lead customer-facing engagements covering assessments, workshops, solution design, implementation, and optimisation. Architect and deploy Microsoft security solutions including: • Microsoft Sentinel (AI-driven analytics & automation), • Microsoft Purview, • Azure-native network, identity and data security, • Act as a trusted advisor to help customers accelerate adoption, improve security maturity, and maximise value from Microsoft platforms., • Co-lead project delivery across discovery, analysis, design, build, test and deployment phases., • Translate complex problems into clear technical solutions and actionable recommendations., • Support secure identity management implementations and modern access governance., • Provide structured documentation, reporting, and actionable output for customers., • Support account managers by providing technical expertise for bids, RFPs, proposals, and with customer service reviews to ensure correct adoption of technologies and services., • Develop solution architectures, statements of work, and technical proposals for new and existing services., • Clearly articulate the business value of SecDevOps, automation, AI-driven security services, and MSSP models to stakeholders., • Guide customers on strategic security roadmaps aligned with business goals., • Be an inspirational example to less experienced colleagues, providing mentoring and knowledge sharing across SecDevOps, AI, and Microsoft security domains., • Contribute to platform engineering strategy, delivery methodologies, and internal security capability development., • Stay current with emerging threats, Microsoft product evolution, AI developments, and cloud security best practices. We are Looking for Someone With: • Strong understanding of modern cyber security principles, threat detection, incident response, and security operations. Proven experience designing and implementing secure architectures in Microsoft 365 and Azure including; • Microsoft Sentinel (AI-driven analytics, playbooks, automation), • Microsoft Purview, • Defender for Cloud, Azure-native network and data security, • Knowledge of security standards like CIS, NIST and GDPR Strong competencies in SecDevOps practices: • CI/CD pipeline design and security, • Infrastructure-as-Code (Terraform, Bicep, ARM), • Automation tooling (PowerShell, KQL, Logic Apps, Functions, PowerApps), • Policy-as-code and automated compliance, • Knowledge of secure development practices, • Demonstrate working in Agile environments, • Ability to understand secure API capabilities to help scope multi-vendor integrations Experience working with AI or AI‑adjacent technologies, such as: • Copilot for Security, • AI-driven threat detection or anomaly detection systems, • Agentic AI frameworks for automation, enrichment or workflow orchestration Understanding of AI security principles, including: • Data protection, access controls and model governance, • Prompt security and model misuse prevention, • AI threat modelling and risk assessment, • Secure integration of AI services into enterprise architectures Can demonstrate relevant knowledge and experience or hold some or all of the following certifications, or be willing to achieve them: • SC-100; SC-200; SC-300; SC-401; AZ-400; AZ-500, • Experience supporting sales with technical solution design and proposal development., • Ability to articulate the business value of SecDevOps, automation, and AI-driven security services., • Understanding of MSSP operating models, managed detection and response, and AI-augmented SOC capabilities., • Degree level qualification or equivalent, • Good stakeholder management and interpersonal skills, • Ability to manage priorities and multi-task, • Ability to apply structured thinking, simplifying complex problems into component parts, to the resolution of project challenges, • Workshop skill for conveying information to customers, lead meetings and provide actionable writeups of tasks / actions., • Ability to consistently deliver quality within expected timeframes and on budget Working Hours: Normal working hours are 7.5 hours a day - Monday – Friday. Working Location: ITC Secure is operating a hybrid working model, with the option to access our London, Canary Wharf office when needed. Travel: Occasional travel to customer site when necessary. • 25 days annual leave., • Private health insurance., • Enhanced maternity and paternity leave., • Death-in-service life cover., • Cycle to work scheme., • Season ticket/gym loans., • Free tea and coffee., • And more! This job description is intended to convey information essential to understanding the scope of the role and it is not intended to be an exhaustive list of skills, efforts, duties, responsibilities or working conditions associated with the position. ALL CANDIDATES MUST CURRENTLY HOLD THE FULL RIGHT TO WORK IN THE UK #J-18808-Ljbffr

London Full time Hybrid Engineering At Preply, we’re all about creating life-changing learning experiences. We help people discover the magic of the perfect tutor, craft a personalised learning journey, and stay motivated to keep growing. Our approach is human-led, tech-enabled - and it’s creating real impact. We’ve just reached unicorn status with a $150M Series D, accelerating our vision to transform education through human-led, AI-enhanced learning. Today, 100,000+ tutors teach 90+ languages to learners in 180 countries - and we’re only getting started. As a category-defining company, we’re shaping what the future of learning looks like at global scale. Every Preply lesson sparks change, fuels ambition, and drives progress that matters. Joining Preply means helping define the future of education at global scale, and building something that truly matters for millions of people, every day. The Security team partners across the company to help Preply grow safely and sustainably. We are responsible for platform security, application and product security, security operations, and incident response. We work closely with SRE, Data teams, Engineering teams, and our GRC function to make security practical, measurable, and scalable. We work in small teams, which means you’ll have high ownership, real influence on technical decisions, and the opportunity to drive meaningful improvements across the company. We promote self-direction, strong collaboration, and a culture where trust and clear communication matter. We’ve reached 90%+ adoption of AI coding tools across engineering, and we’re now moving towards more autonomous, AI-Augmented development at scale. At Preply, engineers have direct access to the best tools available, with the freedom to use them fully and experiment as they build. We have diverse technical challenges that will allow you to develop your skills across the stack - sometimes we write about them in our Engineering Blog ! Please, also visit our Tech Radar and our YouTube channel to learn more about the technologies we use at Preply! Own platform security across AWS, Kubernetes, and GCP, with a strong focus on detection, alerting, and incident response readiness Lead key platform security initiatives end-to-end, from problem definition through rollout and iteration Act as a strong technical voice in defining how platform security is designed, implemented, and operated at Preply Evolve our monitoring from “we have a SIEM” to a detection and response capability that is effective, trusted, and actionable Work hands-on with our current tooling, including Datadog as our SIEM, Okta as our primary IdP, and a range of SaaS platforms Drive cross-functional platform security initiatives from problem definition to production rollout, partnering with SRE, Data, Engineering, and GRC Strengthen cloud and platform security across AWS and Kubernetes, with expanding scope in GCP, through practical guardrails, secure patterns, and automation Improve the robustness of access to internal infrastructure, including identity, privileged access, and auditability Improve security of Kubernetes deployments, including cluster and workload security, policy enforcement, and secure workload identity patterns Mature detection and response capability using Datadog Improve log coverage and data quality (cloud, Kubernetes, CI/CD, identity, and key SaaS) Build and tune actionable detections with clear severity, ownership, and expected frequency Reduce noise through correlation, deduplication, enrichment, and continuous tuning Establish repeatable triage workflows and clear escalation paths, being part of the Security on-call rotations Create investigation playbooks and runbooks so alerts can be handled consistently and quickly Partner with Data teams to improve monitoring for suspicious activity and sensitive access patterns, with an emphasis on practical, high-signal alerting Improve secrets management and reduce exposure risk across CI/CD and runtime Build security automation that makes the secure path the easy path for engineers Strong experience securing cloud and platform environments, especially AWS and Kubernetes, and the ability to extend that security approach into GCP Hands-on experience driving and delivering technical security initiatives end-to-end in production environments Strong understanding of the software development lifecycle, and comfort working with CI/CD and infrastructure as code Practical experience improving identity and access security, with strong familiarity with Okta event monitoring and identity-focused detection patterns Experience building or maturing security operations capability, especially turning SIEM inputs into reliable operational outcomes (triage, runbooks, tuning, and measurable improvement) Experience improving logging coverage and signal quality, and building detections that are actionable rather than noisy (experience with Datadog SIEM is a plus) Strong collaboration skills and the ability to influence decisions across SRE, Data, Engineering, and GRC Business-oriented mindset and comfort making cost-benefit tradeoffs Strong communication skills. Minimum C1 English level. Willingness to participate in on-call rotations and partner effectively with SRE during incidents. Terraform and infrastructure as code at scale Jenkins hardening and CI/CD supply chain security controls Cloudflare security controls (WAF, bot mitigation, edge protections) Scripting or programming for automation and tooling Incident response experience in cloud-native environments (AWS and Kubernetes) An open, collaborative, dynamic and diverse culture; A generous monthly allowance for lessons on Preply.com , Learning & Development budget and time off for your self-development; A competitive financial package with equity and leave allowance; The opportunity to unlock the potential of learners and tutors through language learning and teaching in 175 countries (and counting!). Care to change the world - We are passionate about our work and care deeply about its impact to be life changing. We do it for learners - For both Preply and tutors, learners are why we do what we do. Every day we focus on empowering tutors to deliver an exceptional learning experience. Keep perfecting - To create an outstanding customer experience, we focus on simplicity, smoothness, and enjoyment, continually perfecting it as every detail matters. Now is the time - In a fast-paced world, it matters how quickly we act. Now is the time to make great things happen. Disciplined execution - What makes us disciplined is the excellence in our execution. We set clear goals, focus on what matters, and utilize our resources efficiently. Dive deep - We leverage business acumen and curiosity to investigate disparities between numbers and stories, unlocking meaningful insights to guide our decisions. Growth mindset - We proactively seek growth opportunities and believe today's best performance becomes tomorrow's starting point. We humbly embrace feedback and learn from setbacks. Raise the bar - We raise our performance standards continuously, alongside each new hire and promotion. We build diverse and high-performing teams that can make a real difference. Challenge, disagree and commit - We value open and candid communication, even when we don’t fully agree. We speak our minds, challenge when necessary, and fully commit to decisions once made. One Preply - We prioritize collaboration, inclusion, and the success of our team over personal ambitions. Together, we support and celebrate each other's progress. Preply.com is committed to creating an inclusive environment where people of diverse backgrounds can thrive. We believe that the presence of different opinions and viewpoints is a key ingredient for our success as a multicultural Ed-Tech company. That means that Preply will consider all applications for employment without regard to race, color, religion, gender identity or expression, sexual orientation, national origin, disability, age or veteran status. #J-18808-Ljbffr

Who are we? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! North is Cohere's cutting-edge AI workspace platform, designed to revolutionize the way enterprises utilize AI. It offers a secure and customizable environment, allowing companies to deploy AI while maintaining control over sensitive data. North integrates seamlessly with existing workflows, providing a trusted platform that connects AI agents with workplace tools and applications. This role offers a unique opportunity to shape how enterprises harness the power of AI in real-world applications. As a bridge between our core North product and our clients’ engineering teams, you’ll be at the forefront of solving complex problems and securely integrating AI into critical sectors such as finance, healthcare, and telecommunications. We’re looking for Software Engineers with Applied AI experience who can own the design, build, and deployment of agentic workflows powered by Large Language Models (LLMs), from early prototypes to production-grade AI agents, to deliver concrete business value in enterprise workflows. You’ll work closely with customers on real-world business problems, often building first-of-their-kind agent workflows that integrate LLMs with tools, APIs, and data sources. While our pace is startup-fast, the bar is enterprise-high: agents must be reliable, observable, safe, and auditable from day one. Location: UK Active DV clearance is highly preferred In this role, you will: • Work closely with our enterprise customers to translate high-value, ambiguous business problems into well-framed agentic workflows with clear success criteria and evaluation methodologies, • Lead the design, build, and delivery of LLM-powered agents that reason, plan, and act across tools, APIs, and sensitive enterprise data sources, with enterprise-grade reliability and performance, • Build and ship features for North, our AI workspace platform, working across the full product lifecycle from conceptualisation through production, • Take ownership of scoping and shaping use cases end-to-end, flexing into whatever technical area the problem demands (including frontend) to drive the most effective solution, • Contribute to shared frameworks and patterns that enable consistent, high-quality delivery across customers and teams, • Drive clarity in ambiguous situations, build alignment, and raise engineering quality across the organization, • Travel up to 20–40% to work on-site with customers and partners You may be a good fit if: • You have hands-on experience building and deploying production-grade software in Python; you write clean, testable, observable, scalable code, • You've built and deployed highly performant RAG and agentic applications, including agents that plan and execute multi-step tasks using patterns like ReAct or Plan-and-Execute, • You're deeply familiar with the LLM stack: frontier models, vector databases, and orchestration frameworks, • You have a proven ability to build robust evaluation frameworks, moving well beyond trial and error, to measure agent accuracy, safety, and latency, • You’re experienced working directly with customers and can lead technical discussions with enterprise stakeholders, translating ambiguous business needs into concrete technical specs, • You have experience owning the full scope of a use case end-to-end, • You thrive in fast-paced and ambiguous environments and can execute well even when priorities are shifting It's a bonus if you have: • Experience setting architectural standards for AI and agentic systems across distributed teams, • Experience flexing into unfamiliar technical areas, such as frontend, when the problem calls for it, • Exposure to regulated or sensitive industry environments (finance, healthcare, telecoms), • Experience with enterprise security, compliance, or auditability requirements for AI systems, • A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch., • Full health and dental benefits, including a separate budget for mental health., • RRSP matching, 401K, Pension Scheme., • 100% Parental Leave top-up for up to 6 months, for either parent., • Annual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit. Education & learning stipend for conferences, courses, and coaching., • 6 weeks of paid vacation (30 working days!), • Budget for traveling to other offices if you are remote, plus an annual company offsite., • Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon., • For those in the office: a daily lunch program, plenty of snacks, and regular community and social events., • For those not near an office: a co-working benefit so you can work alongside others in your city., • Everyone receives a $500 home office stipend to set up your workspace properly. We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit a Accommodations Request Form, and we will work together to meet your needs. We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider. #J-18808-Ljbffr

Who are we? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! North is Cohere's cutting-edge AI workspace platform, designed to revolutionize the way enterprises utilize AI. It offers a secure and customizable environment, allowing companies to deploy AI while maintaining control over sensitive data. North integrates seamlessly with existing workflows, providing a trusted platform that connects AI agents with workplace tools and applications. This role offers a unique opportunity to shape how enterprises harness the power of AI in real-world applications. As a bridge between our core North product and our clients’ engineering teams, you’ll be at the forefront of solving complex problems and securely integrating AI into critical sectors such as finance, healthcare, and telecommunications. Our esteemed clients include industry leaders like RBC, Dell, and LG CNS. We are seeking engineers who deeply care about customers and want to work at the cutting edge of Agentic AI. Location: UK Active DV clearance is highly preferred In this role, you will: Lead end-to-end deployment of North in private cloud and on-premises environments, including planning, configuration, testing, and rollout. Partner with enterprise IT teams to assess infrastructure, security requirements, and data management practices. Experiment at a high velocity and with a high level of quality to engage our customers and ultimately deliver solutions that exceed their expectations Design and implement deployment strategies tailored to client needs, ensuring compliance with data privacy and security standards. Troubleshoot and resolve deployment-related technical issues, providing timely solutions to minimize downtime. Travel up to 20–40% to work on-site with customers and partners You have experience with and enjoy working directly with customers You have experience deploying enterprise software in private/hybrid cloud environments You have proven experience administering large-scale production Kubernetes clusters and expertise with Helm Familiarity with DevOps practices, CI/CD pipelines, and tools like Git for version control You have strong expertise in cloud infrastructure (Azure, AWS, GCP), networking, and virtualization You excel in fast-paced environments and can execute while priorities and objectives are a moving target You are fluent in French Familiarity with GPU node orchestration & scheduling You understand the intersection of GPU infrastructure, inference systems, Kubernetes, distributed systems, and performance optimization. A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch. Full health and dental benefits, including a separate budget for mental health. RRSP matching, 401K, Pension Scheme. 100% Parental Leave top-up for up to 6 months, for either parent. Annual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit. Education & learning stipend for conferences, courses, and coaching. 6 weeks of paid vacation (30 working days!) Budget for traveling to other offices if you are remote, plus an annual company offsite. Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon. For those in the office: a daily lunch program, plenty of snacks, and regular community and social events. For those not near an office: a co-working benefit so you can work alongside others in your city. Everyone receives a $500 home office stipend to set up your workspace properly. If any of the above doesn’t line up exactly with your experience, we still encourage you to apply. We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form, and we will work together to meet your needs. We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider. #J-18808-Ljbffr

Who are we? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! Role Overview: Contribute in and provide strong support for model training pipelines, ship state of the art models to production, and bridge the gap between research and production. We have one of the highest ratio of compute to engineers in the world. We do not delineate strongly between engineering and research. Everyone will contribute to writing production code and supporting our research effort depending on individual interest and organizational needs. We have all the compute, data, and talent available for you to do your best work. Please Note: We have offices in London, Paris, Toronto, San Francisco and New York but also embrace being remote-friendly! There are no restrictions on where you can be located for this role. Key Responsibilities: Design and write high-performant and scalable software for training. Improve our training setup from an infrastructure and codebase performance standpoint. Craft and implement tools to speed up our training cycles and improve the overall efficacy of our training infrastructure Research, implement, and experiment with ideas on our supercompute and data infrastructure. Learn from and work with the best researchers in the field. Qualifications: Extremely strong software engineering skills. Proficiency in Python and related ML frameworks such as JAX, Pytorch and XLA/MLIR. Experience with distributed training infrastructures (Kubernetes, Slurm) and associated frameworks (Ray) Experience using large-scale distributed training strategies. Hands on experience on training large model at scale and having contributed to the tooling and/or setup of the training infrastructure Bonus: paper at top-tier venues (such as NeurIPS, ICML, ICLR, AIStats, MLSys, JMLR, AAAI, Nature, COLING, ACL, EMNLP). Working Location: This role can be based remotely or from one of our office locations listed on the job description - there is no minimum in-office qualification requirement. We care most about hiring exceptional people regardless of locations, though please check the location listed on the posting for guidance around the core time zone or working hours alignment expected for the role. A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch. Full health and dental benefits, including a separate budget for mental health. RRSP matching, 401K, Pension Scheme. 100% Parental Leave top-up for up to 6 months, for either parent. Annual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit. Education & learning stipend for conferences, courses, and coaching. 6 weeks of paid vacation (30 working days!) Budget for traveling to other offices if you are remote, plus an annual company offsite. Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon. For those in the office: a daily lunch program, plenty of snacks, and regular community and social events. For those not near an office: a co-working benefit so you can work alongside others in your city. Everyone receives a $500 home office stipend to set up your workspace properly. We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit Accommodations Request Form, and we will work together to meet your needs. We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider. Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers page. #J-18808-Ljbffr

We are looking for a hybrid, highly technical GTM Engineer to bridge the gap between marketing technology, revenue operations, and software engineering. In this role, you won't just be configuring tools, you will be architecting, automating, and maintaining the engine that powers our revenue ecosystem, working alongside your Engineering & Operations peers. As a pillar of WGSN’s Revenue Systems function, the Digital Marketing team is a team of SMEs that drives measurable growth across the entire customer lifecycle from brand awareness to sales and retention. We operate at the intersection of strategy and technology across core areas of Performance Marketing, Marketing Automation, MarTech & Operations, and Website Delivery, aligning digital execution with commercial goals while leveraging automation to reduce manual effort and maximise ROI. • Marketo Engineering & Attribution: Architect, optimise, and maintain complex Marketo programs, dynamic templates (utilising Velocity scripting), custom objects, and multi-touch attribution models in collaboration with Marketing Operations, Business Intelligence, and GTM teams., • Lead Lifecycle & Routing: Build and refine end-to-end lead scoring, lifecycle stage transitions, and routing logic between Marketo and Salesforce to ensure efficient & automated sales handoffs., • Inbound & Paid Media Pipelines: Build and manage SQL-based data pipelines (BigQuery/Snowflake/dbt) and automated extracts connecting our MarTech - GA4, SEO/GEO data, and paid media platforms (LinkedIn, Google Ads, Meta) to the central data warehouse., • System Integration & Webhooks: Design, implement, and monitor robust API integrations, webhooks, and middleware to sync real-time data across Marketo, Salesforce, Revenue Systems tools (Gong, Lusha, ZoomInfo), and data warehouses. Applied AI & Automation Engineering, • Automated Enrichment & personalisation: Develop custom Python/Node.js scripts connecting lead capture channels to LLM APIs (Claude, Gemini) to auto-categorise, enrich, and score inbound/outbound leads in real time., • Unstructured Data & AI Insights: Extract actionable intent signals, sentiment, and competitor mentions from conversational tools (e.g., Gong API) and feed enriched data back into revenue systems and the warehouse., • Emerging Tech Exploration: Experiment with and pilot multi-agent orchestration systems, LLM-powered workflows, and protocols (such as MCP or multi-agent orchestration systems) to automate complex operational and administrative tasks., • Custom Scripting & Automation: Write clean, maintainable Python and JavaScript code to automate manual operational workflows and bridge legacy gaps across the revenue ecosystem., • Full Stack Support & Maintenance: Serve as a flexible engineering resource capable of troubleshooting API failures, debugging automation flows, and supporting any platform across the global revenue ecosystem. This list is not exhaustive, and there may be other activities you are required to deliver. • Experience & Mindset: 3+ years in MarTech, RevOps, or GTM Engineering, with a proactive builder mindset focused on writing code and building automated pipelines to solve operational inefficiencies., • Marketo Architecture: Expert-level Marketo knowledge (programs, lead lifecycles, webhooks, Velocity scripting, tokens); Adobe Marketo Engage Certified Expert (MCE) or above is highly desirable., • Programming & Scripting: Strong coding skills in Python, JavaScript, SQL, HTML/CSS, JSON, REST/SOAP APIs, and webhooks for system integrations and custom development., • Data Engineering & Analytics: Hands-on experience with BigQuery, Snowflake, or dbt to extract and transform data across Marketo, GA4, GTM, and paid media platforms (Google, LinkedIn, Meta)., • Applied AI Integration: Proven ability to interface with LLM APIs (OpenAI, Claude, Gemini) using Python/JS for real-time lead enrichment, intent scoring, dynamic personalization, and workflow automation., • Revenue Tech Stack: Familiarity with Salesforce (Flows/Apex/APIs), revenue tools (Gong, ZoomInfo, Lusha, LinkedIn Sales Navigator), and middleware platforms (Zapier, Make, Workato, Funnel)., • DevOps & Developer Tools: Proficient with Git workflows (GitHub/BitBucket), modern AI coding assistants (Claude Code), and project management tools (JIRA)., • Stakeholder Management: Demonstrated ability to partner closely with Digital Marketing, the broader Revenue Systems team, Data Engineering, Go-To-Market teams, and executive leaders to translate commercial objectives into technical architectures. Skilled in communicating solutions effectively to stakeholders ranging from Marketing Executives to VP-level leadership. Our benefits and wellbeing package offers flexible benefits you can tailor to your own personal needs, including: • 25 days of holiday per year - with an option to buy/ sell up to 5 days, • Pension, Life Assurance and Income Protection Flexible benefits platform with options including Private Medical, Dental Insurance & Critical Illness, • Employee assistance programme, season ticket loans and cycle to work scheme, • Volunteering opportunities and charitable giving options, • Great learning and development opportunities. WGSN is the global authority on consumer trend forecasting. We help brands around the world create the right products at the right time for tomorrow’s consumer. The future is everything, it happens everywhere. WGSN is the world-leading forecaster because we track and analyse consumer behaviours, product innovation, design and creativity, everywhere. We utilise our global resources and intelligence to research, source and analyse quantitative and qualitative data to produce our forecasts. Everything we do is focused on working with our customers to create a successful and positive tomorrow. We source, review and assess quantitative and qualitative data to produce robust, actionable forecasts. To provide credible insights and design solutions for our clients, it is essential that rigour runs through everything we do. An inclusive culture is one of our key priorities. We want our people to truly be themselves and thrive. We love having a diverse team of people who bring new ideas, different strengths and perspectives & reflect the global audience we work with. We are committed to supporting the environment and sustainability, including ensuring our pension plan defaults to sustainable options and striving to be net zero by 2030. is a key part of our culture. Our Awards schemes recognise and reward the brilliant achievements of our people. We use AI to help our team screen applications and identify candidates whose skills and experience match the role. This technology removes personal information to promote a fair and unbiased process. We believe this tool helps us find the best talent while maintaining transparency and fairness. Thank you so much for your interest in working with us at WGSN! Our internal Talent Acquisition team takes care of all our recruitment efforts. When we need some extra help, we partner with agencies on our Preferred Supplier List (PSL) that truly understand our business, culture and ways of working together.Since we focus on these established partnerships, we’re unable to respond to unsolicited contacts or CVs from outside our PSL. But don’t worry! If we decide to explore new partnerships, we’ll be sure to reach out. We offer a flexible working environment with a wide range of flexible, hybrid and agile working arrangements. Conversations about flexible working have always been—and will continue to be—actively encouraged here, but we do not offer full remote working. We want to ensure everyone has the opportunity to perform their best when interviewing, so if you require any reasonable adjustments that would make you more comfortable during the process, please let us know so that we can do our best to support you. #J-18808-Ljbffr

Perk (formerly TravelPerk) is the intelligent platform for travel and spend management. Built to tackle the time-consuming, manual work that gets in the way of real work, our tools automate everything from travel bookings to expenses, invoice processing, and more. By eliminating this shadow work that wastes hours, erodes morale, and saps innovation, we're on a mission to power real work, with real impact. We're trusted by more than 12,000 companies worldwide, including Bolt, GoCardless, and Fabletics, and we're tackling the 7 hours of lost productivity per employee each week, a $1.7 trillion problem. Founded in 2015, Perk has grown into a global company of more than 1,800 people across 12 offices globally, with headquarters in London and Boston. We combine innovation, control, and simplicity to transform how businesses work and how people feel at work. At Perk, we're driven by our values, like being an owner, delivering a 7-star experience, and working as one team. We value curiosity, purpose, and mindset, not just knowledge, to unlock the power in your potential. Our talent team brings together leading minds from the travel, fintech, and SaaS industries, representing over 70 countries. If you're excited about having a real impact and shaping how millions of people experience work, we'd love you on the team. Visit www.perk.com to learn more. Perk is building a modern, AI-powered outbound and pipeline generation motion in close partnership with Sales and Marketing leadership. The Revenue Systems and GTM Engineering function sits at the centre of this transformation, designing and operating the data infrastructure, Clay-based enrichment systems, and AI-driven workflows that enable our revenue teams to execute at scale. This is not a traditional RevOps or systems admin role. The Senior GTM Engineer is a hands‑on builder: someone who constructs sophisticated Clay workflows from scratch, engineers AI-powered enrichment pipelines, and translates signal-based prospecting strategies into production-ready systems. As AI continues to reshape B2B sales, this role is responsible for staying ahead of the curve and identifying where LLMs, AI agents, and intelligent automation can replace manual effort and improve outbound precision. The role reports to the Senior Manager, Revenue Systems, and works closely with the central GTM Engineering team, Revenue Operations, and Sales leadership. It offers a direct, visible impact on how Perk builds and scales its commercial engine. • Own the design, build, and maintenance of Clay tables, waterfall enrichment flows, and AI column logic that power Perk's outbound engine., • Engineer multi-step Clay workflows using webhooks, HTTP API integrations, and conditional branching to automate account and contact sourcing at scale., • Build and iterate on AI prompt layers within Clay using LLM columns to generate personalised outreach snippets, research account context, and qualify leads programmatically., • Construct and maintain signal-based prospecting systems that ingest buying triggers (hiring signals, funding events, intent data) and route them into prioritised Clay tables for Sales activation., • Integrate Clay with Salesforce, Outreach, and data providers (Clearbit, Apollo, LinkedIn, PredictLeads, and others) to maintain clean, enriched, and timely GTM data., • Evaluate and implement AI tooling, including LLM-based research agents, AI SDRs, and prompt-engineered enrichment flows, to scale outbound relevance without scaling headcount., • Design and maintain Outreach sequences that incorporate AI-generated personalisation, ensuring high-volume dialling and email campaigns feel 1:1 at scale., • Identify and automate repetitive GTM operations (list building, data hygiene, routing, deduplication) using Clay, Make, and custom API scripts., • Maintain a working knowledge of the AI GTM vendor landscape and bring forward well-reasoned recommendations on new tooling., • Own TAM sourcing and enrichment workflows, building waterfall logic that sequences providers (e.g. Clearbit -> Fullenrich -> LinkedIn) to maximise contact coverage and data completeness. This includes engineering matching logic and scoring systems to accurately identify net-new accounts against existing CRM data (using identifiers like domain, LinkedIn, and country) before routing them to Sales., • Maintain accurate account and contact data across Salesforce and connected GTM tools, with automated hygiene rules to catch decay before it reaches Sales., • Define and enforce data quality standards for ICP segmentation, territory assignment, and pipeline attribution., • Configure and maintain the core GTM stack (Salesforce, Outreach, Gong, Clay) to support high-volume outbound activity and ambitious pipeline targets., • Partner directly with Sales to diagnose productivity bottlenecks and build systems solutions, from routing logic to sequence architecture to dialler integrations., • Rapidly troubleshoot system and workflow failures to minimise lost selling time during core business hours., • Serve as the primary systems contact for Revenue Systems and GTM Engineering support, owning issue resolution end-to-end., • Execute against the Revenue Systems roadmap in partnership with the Senior Manager and central GTM Engineering team., • Share learnings, workflow templates, and Clay builds with the global GTM Engineering team to drive consistency and compound improvement across regions., • Provide ground-level feedback to inform roadmap prioritisation, surfacing patterns in what's breaking, slowing, or blocking revenue teams., • 6+ years in GTM Engineering, Revenue Operations, or Sales Operations in a B2B SaaS environment, with a strong technical orientation., • Hands‑on Clay expertise; you have built complex Clay tables, waterfall enrichment flows, webhook integrations, and AI column prompts in a production environment, not just experimented with the tool., • Direct experience applying AI to GTM workflows: prompt engineering for LLM-based enrichment, AI-powered personalisation at scale, or building/evaluating AI SDR tooling., • Salesforce proficiency: building and maintaining custom objects, flows, reports, and data integrity logic., • Familiarity with sales engagement platforms (Outreach or SalesLoft) and their integration with CRM and enrichment tooling., • Ability to work with APIs, webhooks, and lightweight automation tools (Make, Zapier, or equivalent) without requiring engineering support for every integration., • Strong data instincts: you build systems that keep data clean, catch decay early, and ensure Sales always operates from a high-quality foundation., • Experience building signal-based outbound systems using intent data, hiring signals, or funding triggers surfaced through Clay or similar infrastructure., • Familiarity with data providers in the GTM stack: Clearbit, Apollo, PredictLeads, LinkedIn Sales Navigator, Bombora, or similar., • Exposure to Gong data and using conversation intelligence to inform outbound strategy or sequence design., • Experience in a high-growth SaaS environment., • Receive competitive compensation and equity ownership in Perk, • Rest and recharge with 25 days of annual leave plus bank holidays, • Take control of your physical health with private medical cover and voluntary dental insurance from Bupa, and discounted gym memberships with GymFlex, • Plan for your future with our qualifying earnings company pension plan with Aviva, • Know that your loved ones are protected financially through your Life Insurance if the worst were to happen, • Rest assured that you’re covered by income protection in case you experience a long-term sickness or absence, • Leverage tax-efficient cycle and electric car schemes with Cycle2Work & Octopus, • Join our unforgettable Perk events, including our spectacular annual summer party, • Always feel supported with Spring Health, our market-leading wellbeing partner, providing fast, comprehensive access to 12x therapy and 12x coaching sessions for you and your loved ones, • Focus on your family with 12-16 weeks’ paid parental leave, • Contribute to your community with 16 paid hours per year to spend volunteering for your dearest charitable causes, • Broaden your horizons with up to 20 "Work from Anywhere" days per year, • Stay savvy with access to a wide variety of discounts and rewards, • Follow your passions and take a four-week, fully paid sabbatical once you reach 5 years, • Let us help you move to one of our hubs with relocation support AI is embedded in how we work across every function. The tools you'll use day-to-day are AI-enabled so you can move faster and spend more time on the work that matters. In practice, that means using AI to research and prioritise accounts, draft and refine outreach, handle customer interactions more effectively, synthesise information, and cut through shadow work - the invisible tasks that pull people away from the work only they can do - so you can focus on relationships and outcomes. At Perk, we take an IRL-first approach to work, where our team works together in-person 3 days a week. As such, this role requires you to be based within commuting distance of our hubs. We fundamentally believe in the value of meeting in real life to improve connectivity, productivity, creativity and ultimately making us a great place to work. For certain roles, we can help with relocation from anywhere in the world, English is the official language at the office. Please submit your resume in English if you choose to apply. Do not forget to submit an updated portfolio and/or resume. Perk is a global company with a diverse customer base, and we want to make sure the people behind our product reflect that. We’re an equal opportunity employer, which means you’re welcome at Perk regardless of how you look, where you’re from, or anything else that makes you, well, you. All official communication from Perk will always come from email addresses ending in @perk.com or @externalperk.com, our verified social media channels, or recruiters listed on our official LinkedIn page. We will never ask you to pay for equipment, training, or fees, request sensitive personal information such as bank details early in the process, or communicate through unofficial apps like WhatsApp, Telegram, or Signal. If you receive a message claiming to be from Perk that seems suspicious, please do not respond. Forward it to security [at] perk .com, and we will confirm whether it is legitimate. #LI-Hybrid #J-18808-Ljbffr

Industry: NGO, Tech for Good Salary: £65,000 - £85,000 (potentially some wiggle room) Confidentiality: NDA required before client details can be shared Our client is embarking on a genuinely transformative journey and you could be the one who builds the foundation of their entire next-generation data intelligence capability. This is your chance to design and deliver the organisation’s first-ever graph‑based data architecture, shaping how critical intelligence is captured, connected, and exploited. If you want a role where you own the direction, set the standards, and build something with long‑term impact, this is it. You’ll operate at the core of our customer’s mission, engineering the systems and frameworks that will power advanced research, analysis, and decision making. Expect a role where you’ll build, shape, optimise, and innovate every single day. You will: • Design and maintain graph‑based ETL pipelines capable of pulling together structured and unstructured data everything from text corpora to company registries, shipping manifests, and financial records., • Develop robust extraction workflows, integrating third‑party data sources and provider tools., • Implement data lineage, versioning, and schema governance to ensure full traceability and reproducibility across the entire intelligence lifecycle. You will: • Prototype and deploy knowledge graph models linking organisations, facilities, transactions, activities, and more., • Build clean, maintainable interfaces and APIs for seamless querying across graph and relational environments., • Integrate visualisation tools (Tableau, MapLibre, bespoke UIs, etc.) to support contextual analysis and intelligence workflows. You will: • Prototype and test Model Context Protocol (MCP) servers enabling Natural Language Querying (NLQ) and Natural Language Generation (NLG)., • Support experimentation with NLP and LLM‑driven enrichment alongside analysts and researchers. This is a place where AI meets real‑world intelligence, and you’ll be helping build that bridge. You will: • Provide technical mentorship to analytical and research teams so they can truly leverage the architecture you build., • Establish best practices for data governance, quality assurance, and documentation., • Help shape the roadmap for scaling future data engineering capabilities. You’ll be responsible for delivering the foundational assets of a world‑class intelligence data environment, including: • A fully operational graph‑based data pipeline handling heterogeneous sources, • A scalable knowledge graph schema and entity‑relationship model, • A robust lineage and governance framework, • A future‑focused roadmap for team and capability growth, • Strong hands‑on experience with GCP, Neo4j, Python, and Postgres., • Familiarity with AI/NLP/LLM integration and data visualisation tools such as Tableau., • Ability to design and maintain complex data pipelines across structured and unstructured sources., • Confident working independently, taking ownership of projects, and driving end‑to‑end delivery., • Comfortable collaborating with analysts and researchers and contributing to best practices in governance and documentation. In this role, you will directly contribute to: • The creation of an intelligence data system that is stable, scalable, queryable, and resilient, • Dramatically improving how fast, traceable, and reliable data‑driven insights can be produced, • Laying the groundwork for a full data engineering function, aligned with strategic growth and evolving mission priorities You’ll work closely with the Technical Tradecraft Lead, collaborate with research teams, and engage with key integration partners and data providers. • Build something from scratch, • Own major architectural decisions, • Work across knowledge graphs, graph databases, NLP, and emerging AI interfaces, • See your work used in real operational intelligence, • Define standards, direction, and future hiring, • Have autonomy and real technical influence This will be one of the most exciting opportunities you’ll see this year. This is not just another data engineering role, it is a greenfield initiative with mission‑level impact. Not Sure You Tick Every Box? Apply Anyway. Studies show that women often apply only when they meet 100% of the criteria, whereas men tend to apply at 60%. If you feel you have most of what we’re looking for and believe you’d thrive here, we want to hear from you. Mid‑Senior level Full‑time Information Technology and Research Information Services and IT System Data Services London, England, United Kingdom #J-18808-Ljbffr

TL;DR: We are looking for several ML Engineers to train, post-train, and evaluate the LLMs at the core of our platform. This is hands‑on modern model training work: large-scale data pipelines, SFT/RLHF/DPO-style alignment, reward models, distributed multi-GPU training, and evaluation. White Circle is an AI Safety company building the safety, reliability, and optimization layer for AI systems. At the core of our platform are policies - simple natural-language rules that define what an AI model should and shouldn’t do. We automatically test, enforce, and continuously improve these policies at scale. • We’ve recently raised our Series A funding round, taking our total funding to $70M. Our investors include top funds, founders, and senior leaders at OpenAI, Anthropic, HuggingFace, Mistral, DeepMind, Datadog, Sentry, and others, • We process over 100M+ API calls every month, • We fine‑tune and train our own LLMs so they run faster and cheaper than any open or proprietary model We’re a small, highly focused team. If you want to work deeply on hard problems, see your work ship to production quickly, and influence how AI safety is actually built - you’re the one we need. • Turn petabytes of unstructured text into a structured, explorable view (topics, clusters, segments, trends, anomalies): iterate from "unknown unknowns" to stable definitions we can track., • Build scalable representation pipelines: sampling strategies, preprocessing/normalization, embeddings at scale, indexing, and retrieval to make the corpus searchable and analyzable., • Use LLMs pragmatically: labeling/classification, weak supervision, data enrichment, summarization, and automated diagnostics of inbound volumes (with cost/quality controls)., • Deliver insights that change decisions: translate findings into product and operational actions (what data we have, what's missing, where quality breaks, what to prioritize next)., • Ship self-serve analytics: datasets, data models, and lightweight tools/dashboards so the team can explore and answer questions without ad-hoc requests., • Partner closely with engineering/research: align pipelines with production constraints (latency/cost/privacy), and integrate outputs into workflows., • Have strong Python + SQL with an engineering mindset: you can build reliable pipelines, not just notebooks., • Have solid applied NLP/ML experience on real-world text: embeddings, clustering, topic modeling, semantic search, classification; you understand failure modes and how to debug them., • Are comfortable at scale: distributed processing, large-scale storage‑querying, and performance-cost tradeoffs., • Know how to evaluate fuzzy problems: offline/online metrics, human‑in‑the‑loop labelling, inter‑annotator agreement, drift monitoring, and reproducibility., • Have prior work with safety/moderation datasets, policy/rule systems, or high‑volume logging/observability, • A public builder footprint: open-source models, datasets, or training frameworks on HuggingFace/GitHub, benchmarks, papers (workshop or main conference), or technical posts with real usage, • Experience training models at a frontier or near‑frontier lab, or leading open‑source model releases with documented adoption, • Experience with RL methods for LLMs beyond standard RLHF: online RL, GRPO‑style methods, or novel alignment approaches, • Experience with moderation, safety, or classification models at scale, • Multilingual model training experience, • Competitive compensation, including equity, • Flexible time off, • Office in central London/Paris with flexible hybrid setup, • Relocation support if you're moving to Paris, available after your probationary period, • Premium private health insurance, • Mental health support, including coverage for therapy when you need it, • Lunch and dinner covered when you work from the office, • Learning and development support for courses, conferences, and opportunities to grow your skills, • All the hardware, subscriptions, tools, and services you need, • Team off‑sites twice a year: we've recently been to the Alps, Saint‑Tropez, and Marbella, • Intro call with Talent Team, • Test assignment, • Technical interview with Head of Applied Research, • Final conversation with CEO #J-18808-Ljbffr

This role focuses on applying data science, statistics, machine learning, graph analytics, and KPI engineering to enable autonomous network intelligence. The AI Data Scientist will work with network telemetry, alarms, performance counters, inventory data, topology data, trouble tickets, service data, and digital twin models to develop analytical insights and predictive intelligence for autonomous network operations. This role focuses on applying data science, statistics, machine learning, graph analytics, and KPI engineering to enable autonomous network intelligence. The AI Data Scientist will work with network telemetry, alarms, performance counters, inventory data, topology data, trouble tickets, service data, and digital twin models to develop analytical insights and predictive intelligence for autonomous network operations. • Analyse large-scale telecom network datasets across RAN, Core, IP, Transport, SD-WAN, Cloud, OSS, and service domains., • Develop KPI engineering models for network performance, service quality, fault behaviour, customer impact, capacity, and resilience., • Build statistical and machine learning models for anomaly detection, fault prediction, root-cause analysis, degradation detection, and proactive assurance., • Develop data aggregation, cleansing, enrichment, and feature engineering pipelines for network telemetry and OSS data., • Support digital twin analytics using topology, inventory, configuration, service dependency, performance, and fault data., • Develop graph analytics models for network topology, entity relationships, dependency mapping, service impact, and fault propagation., • Work with AI/LLM engineers to provide high-quality features, embeddings, metadata, and contextual datasets for RAG and agentic AI systems., • Define network data quality rules, correlation logic, and entity resolution methods., • Create reusable analytical models for RAN, Core, IP/MPLS, SD-WAN, fixed, and cloud network KPIs., • Support AIOps use cases such as alarm reduction, incident prioritisation, predictive maintenance, and automated root-cause analysis., • Work with OSS and inventory teams to align data models with TMF SID concepts and TMF Open API structures., • Use BigQuery or equivalent analytics platforms to process large-scale network data., • Ensure models are explainable, measurable, governed, and suitable for operational decision-making., • Experience in data science, machine learning, telecom analytics, network performance analytics, or AIOps analytics., • Strong Python skills for data analysis, modelling, and automation., • Strong knowledge of statistics, ML basics, feature engineering, and model evaluation., • Experience working with network KPIs, alarms, telemetry, inventory, topology, or service assurance data., • Understanding of telecom network domains including RAN, Core, IP/MPLS, SD-WAN, Transport, Cloud, or OSS., • Experience developing anomaly detection, fault analysis, predictive analytics, or KPI models., • Experience with data aggregation, cleansing, enrichment, and data quality assessment., • Experience with graph analytics, entity relationship mapping, or knowledge graph concepts., • Understanding of LLMs and how structured data can support AI agents and RAG systems., • Experience with BigQuery or similar data warehouse/analytics platforms., • Python., • Statistics and ML basics., • Network KPI modelling., • RAN, Core, IP, SD-WAN, and Transport KPI understanding., • Fault analysis and anomaly detection., • AIOps analytics., • Data aggregation and data pipelines., • KPI engineering and feature engineering., • Inventory models., • Fault correlation., • TMF SID understanding., • BigQuery or equivalent analytics platform., • Graph APIs and graph analytics., • Digital twin analytics., • LLM understanding., • Google Cloud Data Engineer or Machine Learning Engineer., • Azure Data Scientist or AWS Machine Learning certification., • Databricks, Snowflake, or equivalent data platform certification., • TM Forum SID, Open API, or Autonomous Networks training., • Experience with telecom digital twin platforms., • Experience with vector databases, embeddings, semantic search, or RAG., • Experience with streaming data platforms such as Kafka, Pub/Sub, Flink, or Spark Streaming., • Experience supporting closed-loop automation, predictive assurance, or self-healing network use cases., • Experience working with OSS systems, inventory platforms, assurance systems, and ticketing data., • Exposure to top global companies working with Capgemini (145 of the Fortune 500 companies), • Open access to digital learning platforms, • Active employee networks promoting diversity, equity and inclusion like OutFront, CapAbility or Women@Capgemini Capgemini Is Proud To Be a Disability Confident Employer (Level 2) Under The UK Government’s Disability Confident Scheme. As Part Of Our Commitment To Inclusive Recruitment, We Will Offer An Interview To All Candidates Who • Declare they have a disability, and, • Meet the minimum essential criteria for the role., • Please opt in during the application process. Capgemini. Make it real. • All roles will require a level of security clearance; BPSS OR Security Clearance OR Developed Vetting., • Location: This is a permanent role with Capgemini, offering a hybrid working model. The client is based in Newbury and occasional travel to the client site will be required., • You can bring your whole self to work. At Capgemini building an inclusive future is part of everyday life and will be part of your working reality. We have built a representative and welcoming environment, for everyone. Capgemini is an AI-powered global business and technology transformation partner, delivering tangible business value. We imagine the future of organisations and make it real with AI, technology and people. With our strong heritage of nearly 60 years, we are a responsible and diverse group of over 420,000 team members in more than 50 countries. We deliver end-to-end services and solutions with our deep industry expertise and strong partner ecosystem, leveraging our capabilities across strategy, technology, design, engineering and business operations. The Group reported 2025 global revenues of €22.5 billion. Make it real | www.capgemini.com #J-18808-Ljbffr

Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! As a Senior Member of Technical Staff specializing in web data for pre-training, you will play a pivotal role in developing the large scale web data pipeline that underpins Cohere’s advanced language models. In this role, you will work extensively with large-scale web corpora, transforming raw, noisy internet data into high-quality training data for pretraining. You will own key components of the data pipeline, including extraction, parsing, deduplication, and filtering. You will also analyze the composition and quality of web data, study its impact on downstream model performance, and collaborate closely with the broader data and evaluation teams to iterate on the training corpus. Your work will be essential to Cohere’s mission of delivering efficient and reliable language understanding and generation capabilities, driving innovation in natural language processing. If you are passionate about transforming data into the foundation of AI systems, this role offers a unique opportunity to make a meaningful impact. Please Note: We have offices in London, Paris, Toronto, San Francisco and New York but also embrace being remote-friendly! There are no restrictions on where you can be located for this role. (EST/EU) Maintain large-scale pipelines for processing web corpora. Work on filtering and quality-scoring systems to identify high-value web documents. Analyze web data composition across domains, languages and time periods. Develop and maintain highly-performant deduplication pipelines. Collaborate with cross-functional teams, including researchers and engineers, to ensure data pipelines meet the demands of cutting-edge language models. Strong software engineering skills, with proficiency in Python and experience building data pipelines. Familiarity with data processing frameworks such as Apache Spark, Apache Beam, Pandas, or similar tools. Experience working with large-scale web datasets. Knowledge of data quality assessment techniques and experimentation with data mixtures. A passion for bridging research and engineering to solve complex data-related challenges in AI model training. Bonus: paper at top-tier venues (such as NeurIPS, ICML, ICLR, AIStats, MLSys, JMLR, AAAI, Nature, COLING, ACL, EMNLP). If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply! This role can be based remotely or from one of our office locations listed on the job description - there is no minimum in-office qualification requirement. We care most about hiring exceptional people regardless of locations, though please check the location listed on the posting for guidance around the core time zone or working hours alignment expected for the role. A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch. Full health and dental benefits, including a separate budget for mental health. RRSP matching, 401K, Pension Scheme. 100% Parental Leave top-up for up to 6 months, for either parent. Annual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit. Education & learning stipend for conferences, courses, and coaching. 6 weeks of paid vacation (30 working days!) Budget for traveling to other offices if you are remote, plus an annual company offsite. Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon. For those in the office: a daily lunch program, plenty of snacks, and regular community and social events. For those not near an office: a co-working benefit so you can work alongside others in your city. Everyone receives a $500 home office stipend to set up your workspace properly. If any of the above doesn’t line up exactly with your experience, we still encourage you to apply. We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form, and we will work together to meet your needs. We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider. Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers page. #J-18808-Ljbffr

About Kernel Agents are starting to sell, buy and operate on behalf of companies. But before an agent can close a deal, qualify an account, route a lead or assess risk, it has to answer a basic question: which company is this? Today, that answer is messy, and no one answers it reliably. Business identity lives across CRMs, ERPs and third‑party datasets full of duplicates, missing parent companies, stale addresses and incorrect enrichment. The cost shows up across the enterprise: sales teams miss revenue opportunities because they lack the right account context; operations teams take on avoidable exposure because risk signals are fragmented or wrong; and finance teams end up chasing and writing off bad debt that should have been caught earlier. Humans have worked around that mess for years. Agents cannot. They need a reliable business identity layer they can trust. Kernel is building that layer: the business registry for agents. We issue a permanent KERN ID for every business, plus the context an agent needs to act on it. Ops, data and revenue teams at Gong, Legora, Mistral, Canva and Checkout already use Kernel on their own systems. Agents are next, and there will be far more of them. We have raised $14M from top VCs and operators at Plaid, OpenAI, Slack and others, and we are growing 5x YoY. The Role We’re looking for an AI Ops Engineer for our product team to build the internal systems that help Kernel scale without adding unnecessary manual work. You’ll work across Product, Customer Support, and Engineering - finding the highest‑leverage problems and building practical AI‑powered workflows. This is a hands‑on builder role. You’ll take ideas from a vague business problem to a tool or workflow that people use, then maintain and improve it in production. You’ll choose the fastest sensible approach for each problem - coding agents, automation platforms, APIs, data pipelines or lightweight code. Your focus area will be whatever is the most critical blocker for Kernel’s growth, whether that’s automating our customer support, tying our data feedback loop to automatically seed our evals (benchmarks), building tooling for our sales team to demonstrate Kernel, and so on. You’ll report to Marcus Henglein, our co‑founder who leads our Product, Engineering, and Client Delivery teams. What You’ll Be Doing Automating customer support: The first focus area is to lead our initiative on automating as much of our technical customer support as possible, leveraging Kernel’s docs and MCPs, the right kind of AI tooling, and working closely with the engineering team. Turning user feedback into evals: Build workflows that turn data issues reported by users into test cases, helping Kernel catch recurring errors and measure improvements. Keeping docs current: Build workflows that detect product changes and keep our documentation accurate. Making Kernel easier to demo: Build tools that help our sales team prepare and run demos using relevant account data. Priorities shift, problems often start loosely scoped, and you’ll own the work through maintenance. What You Bring A track record of shipping: you’ve built tools, automations or AI workflows that people use every day, ideally inside a small, fast‑moving startup. Around 2–5 years of experience is typical, but what you’ve built matters more than your years. Ex‑founders welcome Curious about product: you’re keen to learn how a product/engineering organization works in a fast‑paced startup environment AI‑tool obsessed: you are constantly testing new models, agents, MCPs and workflows, and you have the judgement to turn them into reliable systems that people actually adopt - but without turning off the “Local LLM” that you were born with (your brain) Strong data instincts: you can turn fragmented, messy information into reliable workflows and create feedback loops that keep it trustworthy Can’t unsee inefficiency: you see the company as a connected system; when you find a broken or unnecessarily manual process, your instinct is to understand it, build the fix and make sure it sticks Artisanal programming experience is not required for this role, and you don’t need a traditional software engineering background. This role may not be for you if you: Prefer deep specialization over breadth: this role means switching between projects and teams, depending on business needs Prefer steady‑state work over project‑based sprints: priorities will shift as the business evolves Only want “strategic” work: you will personally build the tools, clean the data and fix the workflows Need every task to be clearly scoped before starting: ambiguity and learning on the fly are constant Avoid operational grunt work or lose interest after the prototype Want to work in a more structured 9‑to‑6 environment or in a remote/hybrid setup: we are in the office together 4–5 days a week and the pace is high What We Offer We will do our best to offer you a ride of a lifetime. It will not be easy, but it will be thrilling. Salary: £60,000–£85,000 + equity 24 days holiday per year + bank holidays £450 monthly office dinner allowance 2 weeks work‑from‑anywhere Generous parental leave policy Pension plan Top‑spec equipment and central London office Team events and dinners Work directly with the founders to deploy AI across a fast‑growing company High‑autonomy, high‑trust environment with a small team shipping at pace Stage 1 – Video call with the Hiring Manager. Stage 2 – Case study interview (in person) with the team. Stage 3 – Values interview with the Founders. If there is mutual fit, we move to references and offer. #J-18808-Ljbffr

Role informationUFORCE exists to make aggression unaffordable. Founded in Ukraine and headquartered in London, UFORCE is a defence-technology company with operations across Europe, the United States and Asia. UFORCE builds uncrewed vessels, ground robotics and aircraft, autonomy software, and the command-and-control layer that operates them together. Each platform is deployable on its own, and stronger as part of the system. Its product lines include the MAGURA family of uncrewed surface vessels, the NEMESIS family of strike platforms, the LIUT family of ground robotic platforms, and counter-UAS systems. About the Role UFORCE is looking for an AI Specialist, GTM to help our go-to-market teams get more done with AI. You’ll focus primarily on Marketing and Military Exercises, with additional support for Sales and Revenue Operations. You’ll identify the most valuable problems to solve, build practical tools and automations, and help teams make them part of everyday work. This is a hands-on role for an AI-native business operator who combines business judgment, fast learning, and the ability to build. You won’t wait for a perfectly defined backlog: you’ll learn how teams work, uncover the underlying problems, and redesign workflows around what AI makes possible. You’ll own small-to-medium solutions independently and partner with our AI team on larger, more complex systems, working within architectural direction from the hiring manager. Your work will span discovery, building, testing, rollout, enablement, and measurement. Success means useful solutions that people actually adopt and that improve capacity, quality, speed, or access to information—not simply more agents, dashboards, or prototypes. Deep software-engineering experience and prior knowledge of UFORCE’s GTM model are not required. What you’ll do Build an AI-first Marketing operating model. Redesign recurring content and campaign workflows so the team can produce more high-quality assets through reusable templates and systems rather than one-off production. Put approved messaging, claims, quality controls, and human approvals at the center of the workflow. Improve how Military Exercises operates. Learn the team’s operating model, identify its highest-friction recurring work, and build AI-enabled workflows where they create meaningful leverage. Opportunities may include planning, coordination, participant and contact capture, preparation, follow-up, after-action insights, and handoffs into GTM systems. Help make GTM intelligence useful in everyday work. Partner with our AI team on UFORCE’s GTM intelligence and People Graph, connecting people across emails, companies, roles, relationships, and interactions. Build appropriate components such as activity capture, account and contact context, engagement signals, CRM enrichment, and follow-up, and help teams adopt the resulting tools. Add hands-on execution capacity for Sales and RevOps. Independently deliver small-to-medium improvements in areas such as reporting, closed-lost analysis, engagement scoring, CRM and data quality, follow-up, workflow automation, and enablement, while supporting—not duplicating—the larger programs already underway. Turn useful solutions into normal ways of working. Own testing, rollout, lightweight training, and adoption reinforcement. Establish clear ownership and measure before-and-after impact in time, quality, capacity, or information access. Reuse shared data and capabilities, avoid tool sprawl, and make sound decisions about when to improve, scale, or stop a solution. Required Skills Hands-on AI building. You use AI deeply in your own work and have personally built useful tools, agents, automations, analyses, or workflows. You can show what you built, how it reached users, what changed after real usage, and the difference it made. Business judgment and rapid learning. You can quickly make sense of an unfamiliar Marketing, Sales, RevOps, or exercise workflow by understanding its users, decisions, data, handoffs, and failure points. You build credibility with functional experts through good questions and useful delivery. Problem discovery and independent ownership. You don’t need a detailed task list to make progress. You identify the underlying problem, challenge initial assumptions when needed, prioritize high-value opportunities, and redesign the work rather than simply automate the request as given. Technical and CRM/data fluency. You can work directly with structured business data and AI-assisted technical tools. You understand CRM concepts, entities and IDs, relationships, APIs and integrations, permissions, data quality, and source-of-truth boundaries. You can read and verify AI-generated code or workflows, catch bad assumptions, and recognize when engineering or security support is needed. Adoption, enablement, and cross-functional influence. You can explain new tools clearly to non-technical users and help people who don’t report to you change how they work. You have evidence of a solution becoming part of everyday operations and can describe how you addressed resistance or poor initial adoption. Practical prioritization and responsible AI judgment. You know when a lightweight solution is enough, what not to build, and when further iteration is not worth the effort. You handle customer, pipeline, contact, meeting, and company information carefully, recognize that AI output can be wrong, and apply appropriate human review and access controls. Nice to have Experience in Marketing Operations, Growth Operations, Revenue Operations, Sales Operations, Business Operations, Product Operations, Strategy & Operations, or another hands-on operating role with GTM exposure. Experience with AI tools, automation platforms, low-code workflows, and/or Notion. Experience with Salesforce or another CRM, including account, contact, opportunity, activity, and pipeline data. Familiarity with data analysis, dashboards or BI, SQL, APIs, or scripting; depth in every area is not expected. Experience with content and campaign operations, sales intelligence, activity capture, enablement, forecasting and reporting, or event and exercise workflows. Experience in a fast-growing company where GTM systems and processes were still being built. The nature of combat has changed. Tomorrow’s battlefield success depends on autonomy, speed, and adaptability. And UFORCE is ready. Are You? Find Jobs in United Kingdom on Arbeitnow #J-18808-Ljbffr

Our mission is to scale intelligence to serve humanity. We’re training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. We like to work hard and move fast to do what’s best for our customers. Cohere is a team of researchers, engineers, designers, and more, who are passionate about their craft. Each person is one of the best in the world at what they do. We believe that a diverse range of perspectives is a requirement for building great products. Join us on our mission and shape the future! Cohere is revolutionizing enterprise AI with North, an agentic AI platform designed to securely deploy AI agents and automations within organizations' infrastructure. North empowers employees to streamline workflows, automate repetitive tasks, and unlock actionable insights while ensuring data privacy and compliance. North combines cutting‑edge generative and search models with customizable integrations to drive productivity and innovation at scale. We are seeking an Agent Harness Product Manager to own the execution layer that makes North agents reliable, capable, and production‑ready. This is a role that sits at the intersection of three domains: • Agent Loop and Execution: Own the core agent runtime: tool orchestration, parallel execution, sub‑agent delegation, sandbox code execution, and failure recovery. You will define how North agents plan and act across long, multi‑step workflows and ensure the execution environment is robust enough for the most demanding enterprise tasks. You are expected to engage at the implementation level, contributing to architecture decisions alongside engineering rather than simply handing off requirements., • Context Engineering: Own how our Agents manage the context window as a deliberately controlled resource. This includes progressive disclosure of tools and skills, context compaction and summarization, offloading of large payloads to a persistent filesystem, and the instrumentation that keeps agents oriented across extended trajectories., • Model‑Scaffolding Co‑evolution: Own the feedback loop between North’s harness and the Modeling Team. This PM is the connective tissue that makes that possible: ensuring harness design decisions are validated by Modeling before they are built, that evals are the shared bridge between both teams, and that as the harness evolves the model evolves with it., • Define and own the roadmap for North’s agent harness, including the agent loop, context engineering layer, tool orchestration, sandbox execution, and sub‑agent delegation., • Serve as the primary interface between North engineering and Cohere’s Modeling team, ensuring new harness capabilities are validated before being built and that neither team paints itself into a corner., • Own North’s agentic evaluation framework, ensuring evals are compatible with both the North harness and Modeling’s training infrastructure, and that they serve as a reliable bridge between product and research., • Engage enterprise customers to surface real‑world agentic failures and translate findings into concrete product and model requirements., • Stay current with the open‑source and commercial agent ecosystem and drive adoption decisions that keep North’s architecture aligned with emerging standards., • 5+ years of product management experience in agentic AI systems, developer infrastructure, or applied ML products., • Deep understanding of modern LLM agent architectures, including multi‑agent systems, tool‑augmented reasoning, memory and retrieval, programmatic orchestration, RAG, and long‑horizon execution., • Strong grasp of agentic evaluation design, including how to measure task completion, failure recovery, and long‑horizon reliability, and how to diagnose model vs. scaffolding gaps., • Technically deep enough to contribute to architecture decisions at the implementation level: comfortable reviewing and shaping design docs, reasoning about async execution patterns, sandboxed environments, filesystem design, and the tradeoffs that come with building harness capabilities into a production platform., • Ability to flex between ML research conversations and engineering architecture discussions with equal fluency., • Track record of shipping platform‑layer products with demonstrated impact on reliability, performance, or capability., • An active practitioner of agent frameworks who regularly builds with and follows the latest developments in open‑source harnesses, coding agents, and orchestration tools in both professional and personal work., • Hands‑on experience with enterprise agentic deployments: multi‑tenant orchestration, tool permissioning, audit trails, and compliance requirements., • Familiarity with infrastructure constraints relevant to enterprise deployments: on‑premises environments, scalability challenges, and the operational tradeoffs of running complex agent workloads in restricted or air‑gapped settings., • Prior work at the intersection of research and product, translating nascent model capabilities into shipped product features., • Background working within or closely alongside an ML research or post‑training team., • Impact: Shape how Canada’s most important public institutions adopt and deploy frontier AI., • Innovation: Work alongside leading researchers and engineers solving complex ML challenges., • Growth: Competitive compensation, equity options, and opportunities for professional development., • Flexibility: Hybrid work model with offices in key global locations (Toronto, Montreal, New York, San Francisco, London, Paris, and Korea). We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form, and we will work together to meet your needs. • Open and inclusive culture and work environment., • Work closely with a team on the cutting edge of AI research., • Weekly lunch stipend, in‑office lunches & snacks., • Full health and dental benefits, including a separate budget to take care of your mental health., • 100% Parental Leave top‑up for up to 6 months., • Personal enrichment benefits towards arts and culture, fitness and well‑being, quality time, and workspace improvement., • Remote‑flexible, offices in Toronto, New York, San Francisco, London and Paris, as well as a co‑working stipend., • 6 weeks of vacation (30 working days). If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply! #J-18808-Ljbffr

Be the first commercial hire at an AI company taking on one of MedTech's most felt problems: the burden of compliance. Build the outbound engine from scratch and help manufacturers get their products into patients' hands faster. We're hiring our first commercial person: an AI-first builder who thrives on autonomy. You'll architect the outbound motion from zero and help close the deals alongside the founders. That means building how we find the right regulatory leaders, what we say to them, why they reply, and then running the full cycle. Day to day, you'll: Build and optimize the GTM machine. Lead lists, enrichment, sequences, and tooling, from scratch. Own the outbound. Multi-channel outreach and cold calling that turns strangers into leads. Push the deals forward. Work the full cycle with the founders, from first reply to signing. Shape the strategy. Sharpen the messaging and targeting on what real buyers tell you, week after week. We're a London startup removing the bottleneck between the companies that make medical devices and the regulators who approve them. Too many devices that could change lives sit in review queues. We automate compliance reviews, taking work that costs months down to hours and helping manufacturers move faster with confidence. We're pre-seed, backed by Antler, Meridian Health Ventures and Vento Ventures, plus regulatory-expert angels who helped build our product. You'd build with a small team of senior, high-agency people: Francesco (CEO & co‑founder) spent around a decade in MedTech, bringing multiple life‑saving products from concept to patients. He has lived the compliance pain we're solving. Mihai (CTO & co‑founder) holds a PhD on decision‑making in multi‑agent systems and led research on safe, interactive planning for self‑driving cars. The team is ML and software engineers plus an ex‑Notified‑Body regulatory expert, who make sure what we tell the market holds up to the people who used to sign these files off. We care less about your exact years or your degree than about evidence of results. MedTech or regulated‑industry experience is a strong bonus, but it shouldn't put you off applying. Above all we value fast learners who are determined, adaptable, and hungry. You are adaptable and thrive when priorities shift; AI‑native with the judgment to prioritise quality over volume; results‑oriented, owning outcomes rather than just activity; and empathetic to the unique pressures facing our clients. Strong competence and proven experience (3+ years) doing: Cold outbound (email + LinkedIn). You wrote and ran B2B cold sequences that convert. Show us: sequences you wrote, and your own reply and meeting rates. Cold calling (phone). You cold called successfully as a regular part of a recent role. Show us: conversion rates, and a meeting you booked from a cold call. AI‑automated outbound. You built automated outbound workflows with AI tools (Clay, Apollo, n8n, or LLM prompts). Show us: a workflow you built, the tools behind it, and what it produced. Pipeline generation. You generated B2B/enterprise pipeline. Show us: your own numbers, qualified meetings a month, pipeline value, or quota. Deal management. You ran discovery meetings and advanced multi‑stakeholder B2B deals. Show us: a complex deal you moved forward and how (closing experience is a bonus). Zero‑to‑one building. You built an outbound motion from a blank page. Show us: something you started from nothing, with no inherited CRM or playbook. Writing. You write clear, sharp, human copy. Show us: a short sample; you'll also write live in the case study. Compensation: £60‑75K OTE. Founding equity: real founding‑level ownership. Office: a brand‑new Shoreditch space with multiple terraces and a gym. In person, with flexibility (3 days per week). Health + Pension: Vitality private health cover, with gym‑linked rewards and perks worth using. Pension company contribution. Time off: 25 days' leave plus bank holidays. 30‑minute intro chat. 1‑hour live working session (a real case study where you'll be using AI to solve a problem). 45‑minute in‑person coffee with both founders. References and offer. Klaris is an equal‑opportunity employer, and we welcome applicants regardless of race, ethnicity, gender, age, disability, religion, sexual orientation, or any other protected characteristics. #J-18808-Ljbffr

Are you passionate about designing and deploying intelligent machine learning solutions that drive business impact? Do you enjoy leading teams, building scalable ML systems, and turning complex data into innovative products and services? We are a software engineering team responsible for developing and supporting business-critical platforms used to create, manage, publish, and analyse legal and regulatory content. Our work spans modern web applications, cloud services, content migration programmes, publishing platforms, reporting solutions, and operational tooling. We partner with editorial, product, and technology stakeholders to deliver high-quality solutions that drive business value. In addition to supporting the UK business, we work closely with engineering teams across multiple regions to share expertise, promote reuse, and deliver scalable solutions that benefit the wider organisation. This position serves as a subject matter expert for Machine Learning Engineering, supporting production AI/ML, LLM/RAG, and agentic workflow capabilities for legal content products. In addition to writing code on complex systems, this position provides technical direction on architecture, MLOps, responsible AI, legacy system integration, AWS-based delivery, and AI-assisted development practices. The position does not have direct reports. • Serve as the initial point of escalation for AI/ML engineering issues within the area of responsibility., • Interface with software engineers, data engineers, product stakeholders, domain experts, platform teams, and other technical personnel to finalise requirements and clarify integration needs., • Write and review portions of detailed specifications for the development of complex AI/ML, LLM, RAG, and agentic workflow components., • Design, build, integrate, deploy, and operate production AI/ML and LLM-based services for legal research, analytics, and content use cases., • Implement RAG, semantic search, embeddings-based retrieval, ranking, summarisation, classification, content enrichment, and citation-aware AI capabilities where appropriate., • Design and implement agentic workflows, tool orchestration, and multi-step AI processes that are reliable, traceable, and governed., • Integrate AI/ML capabilities with enterprise systems, APIs, databases, data platforms, content repositories, legacy applications, internal services, and AWS-hosted services., • Establish evaluation and quality controls for accuracy, groundedness, citation quality, hallucination risk, agent task success, latency, cost, reliability, and business value., • Successfully implement development processes, coding best practices, code reviews, MLOps practices, and responsible AI controls., • Apply AI-assisted development tools to reduce software development cycle time and support code explanation, test generation, refactoring, debugging, documentation, code review, migration planning, and legacy system analysis., • Resolve complex technical issues related to AI/ML services, data flows, system integration, model behaviour, production support, and operational reliability., • Mentor and/or train engineers as directed by department management, ensuring they are knowledgeable in critical aspects of AI/ML engineering, MLOps, SDLC practices, and responsible use of AI-assisted development tools., • Keep abreast of relevant technology developments in machine learning engineering, LLMs, agentic workflows, AWS cloud services, responsible AI, and software engineering practices., • Ensure AI/ML solutions align with enterprise data governance, security, privacy, responsible AI, and operational standards., • All other duties as assigned., • Significant hands-on experience in machine learning engineering, software engineering, data engineering, or a related technical discipline., • Experience designing, building, deploying, and operating ML, AI, LLM, or data-driven systems in production., • Experience integrating AI/ML services with enterprise systems, APIs, databases, data platforms, legacy applications, or internal services., • Experience working with cross-functional teams to understand business processes, data flows, content repositories, integration points, and operational constraints., • Experience working with AWS or cloud-hosted production environments., • Equivalent technical experience or education considered., • Strong Python development skills for machine learning engineering, data processing, automation, service development, and production AI/ML workflows., • Strong software engineering background, including system design, APIs, distributed systems, automated testing, code review, maintainability, reliability, and production support., • Strong understanding of ML engineering and MLOps practices, including model lifecycle management, CI/CD, testing, monitoring, release management, observability, and operational support., • Practical experience with LLM-based capabilities, including retrieval-augmented generation, semantic search, embeddings, prompt design, evaluation, guardrails, and observability., • Experience with agentic workflows, tool orchestration, and multi-step AI processes., • Strong AWS knowledge, including cloud-hosted applications, data services, security controls, logging, monitoring, and production support., • Strong understanding of SDLC practices, including requirements analysis, design, implementation, automated testing, code review, secure coding, deployment, and production support., • Strong understanding of responsible AI practices, including evaluation, traceability, secure data handling, model governance, human oversight, and risk management., • Ability to work with structured, semi-structured, and unstructured data sources., • Ability to understand legacy systems, domain processes, data flows, and integration constraints., • Practical experience using AI-assisted development tools such as GitHub Copilot, Codex, Claude, or similar tools to improve software delivery., • Strong problem-solving skills, including identifying, researching, troubleshooting, and resolving complex technical, data, and integration issues., • Strong communication and technical writing skills, including the ability to explain ML and engineering concepts clearly to technical and non-technical stakeholders., • Desirable experience with Docker, Kubernetes/K8s, AWS EKS or ECS, Terraform, or similar cloud deployment technologies., • Desirable working knowledge of C#/.NET and SQL Server, particularly for integration with enterprise or legacy systems., • Desirable experience with event-driven architecture, messaging, queues, asynchronous processing, retries, idempotency, and failure handling., • Desirable experience with legal content systems, LegalTech, publishing platforms, case law, citation systems, legal research workflows, XML/XSLT, structured content processing, search, ranking, indexing pipelines, or content enrichment. Join our team and contribute to a culture of innovation, collaboration, and excellence. We promote a healthy work/life balance across the organization. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals. • Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive. We know that your well-being and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer: • Generous holiday allowance with the option to buy additional days., • Health screening, eye care vouchers, and private medical benefits, • Wellbeing programs, • Life assurance, • Access to a competitive contributory pension scheme, • Save As You Earn share option scheme., • Maternity, paternity, and shared parental leave, • Employee Assistance Programme, • Access to employee resource groups with dedicated time to volunteer., • Access to extensive learning and development resources, • Access to employee discounts scheme via Perks at Work At LexisNexis GTO, you'll have the opportunity to work on business-critical products while leveraging some of the latest AI and software engineering technologies. We actively invest in developer productivity tools such as GitHub Copilot, ChatGPT, and Codex, and provide regular training, workshops, office hours, and communities of practice to help engineers continually develop their skills. Our engineers are encouraged to innovate and experiment with emerging technologies, including AI-powered solutions, agentic workflows, modern cloud platforms, and intelligent content systems that directly impact our products and customers. GTO fosters a strong culture of learning and collaboration through initiatives such as the Development Guild, Search & AI Guild, technical communities, engineering showcases, and regular knowledge-sharing events where teams learn from one another and share best practices. As part of a global technology organisation, you'll gain exposure to colleagues, products, and initiatives across multiple regions, supported by regular GTO and AI & Platforms town halls that provide visibility into company strategy, innovation, and senior leadership priorities. Beyond technical growth, LexisNexis and RELX provide a wealth of professional development opportunities through structured learning programmes, leadership development, wellbeing initiatives, and extensive learning resources to help employees grow throughout their careers. We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. #J-18808-Ljbffr

Humaans is building the next generation of infrastructure for the workplace; software designed for companies that are scaling fast, operating globally, and pushing into new boundaries. What started as a system of record has evolved into a broader platform for operating people globally. With Athena, our agentic AI layer, Humaans moves beyond data management into intelligent orchestration, connecting workflows across HR, IT, Finance, and Operations so organisations can act faster and with greater confidence, redefining how work gets done. We work with ambitious teams across Europe and the US, from AI-native companies to established, high-growth organisations scaling internationally and through acquisition. These teams don’t buy software for features, they buy leverage. The ability to run faster, cleaner, and with more control as complexity compounds. To date, we’ve raised $20m in venture funding from some of the most respected founders, operators, and funds in technology. If you have massive ambition and want to work on a hard problem, with a small team that moves fast, at a moment when the category is genuinely up for grabs - this is it. Revenue teams used to scale by adding people. Now they scale by building systems. We're looking for a GTM Engineer to own the infrastructure behind how Humaans finds, engages, and converts customers, turning our go-to-market strategy into automated systems that run at scale. This is a builder role, not a reporting role. You'll sit between RevOps, Sales, and Marketing and own the connective tissue: the data pipelines, enrichment workflows, signal detection, lead scoring, routing, AI agents, and outbound infrastructure that decide which accounts we pursue, what we know about them, and what happens next. When a process is manual, slow, or rep-dependent, you replace it with a system. Your output scales non-linearly, because the system does the work, not the headcount. Our GTM stack runs on HubSpot as the system of record, with Clay as the orchestration layer wiring together dozens of data providers, enrichment sources, AI models, and our own internal tools into automated workflows. You'll have dozens of tools at your disposal to build with, from enrichment and outbound platforms to call intelligence, AI coding tools, and our own internal tooling, plus the latitude to add new ones when they earn their place. We obsess over clean data and reliable systems, and we move fast by building on high quality foundations rather than stacking fragile workarounds. Own the data foundation: keep our CRM trustworthy with automated enrichment, hygiene routines, and clear ownership rules Build enrichment and scoring workflows that turn raw firmographic and signal data into ranked, ready-to-action target lists Design signal-based plays: detect the right buying signals and events as they happen, then trigger the right outreach at the right moment Own cold email as our primary outbound channel: build and protect the sending infrastructure, manage deliverability and inbox health, personalise at scale, and instrument it so you're the first to know when something breaks Deploy AI agents for research, personalisation, and CRM updates, with guardrails that protect quality and brand Connect our GTM tools through their APIs, deciding what the source of truth is for each field and how data flows between systems Launch new outbound campaigns continuously, run structured tests, read the results, and feed what you learn back into the system so it keeps improving Partner with SDRs, AEs, and leadership to find bottlenecks, ship solutions in days, and scale what works Design structured tests with defined success metrics up front, kill what underperforms fast, and double down on what works Treat copy as a testable variable: systematically test subject lines, opening angles, and CTAs, then roll winners back into templates and agent prompts Operate at volume: manage thousands of leads flowing through the system every day without letting data quality or targeting slip Systems thinker with a commercial bias: you judge every workflow by whether it actually helps close a deal Copywriting backed by testing: you write outbound that books meetings and prove it through reply and positive-reply rates rather than opens Hands-on experience with a modern GTM stack (Clay or equivalent, HubSpot or Salesforce, plus enrichment and sequencing tools) Comfortable enough with SQL and a scripting language (Python or JavaScript) to solve problems independently; reading API docs, handling auth, and chaining calls doesn't scare you Fluent with AI coding and automation tools (Claude Code, Cursor, n8n, Zapier) and able to build, test, and ship agents and workflows end to end Strong understanding of the outbound motion: ICP definition, lead scoring, deliverability, and what good outreach actually requires Experimental mindset: you validate signals, measure everything, and turn feedback loops into better systems You learn by tinkering. Background matters less than a track record of building things revenue teams actually use Many of the best GTM Engineers come from SDR, RevOps, growth, or product backgrounds. If you've been the person quietly wiring Clay into your CRM and automating your own pipeline, this is the role for that instinct. This is an in-person role. Our GTM team comes together in the office Monday through Thursday, while most of the team collaborates in person on Mondays, Tuesdays, and Thursdays. This is an in-person role. Our team comes together in the office Monday through Thursday, while most of the team collaborates in person on Mondays, Tuesdays, and Thursdays. Early stage startups can be messy – we know that. We're putting effort in providing you with the best employee experience and a quality driven environment in exchange for trusting us. Market-leading compensation that reflects your value 25 days paid time off each year plus public holidays Share Options with 5-year exercise window so you don't feel pressure to exercise if you leave Free Thursday lunches at HQ, quarterly team events, and company offsites. Top tier private coverage for health, vision and dental care A new MacBook and tools you need to do your best work Enhanced parental leave with up to 16 weeks for primary and 4 weeks for secondary Learning & development budget HR tech is having its AI moment and we're positioned to own it. Humaans started as a next-gen HRIS taking on large incumbents in a massive market. We've since evolved into something even bigger: an AI platform that sits across workforce data and automates the operational layer of HR entirely; the natural progression of what we've been building toward. The product is highly differentiated. It\’s built around a structured workforce data model that makes AI reliable in an HR context, something no one else has gotten right. Customers notice the difference immediately. We\’re backed by Y Combinator, Lachy Groom, Moonfire, Frontline Ventures, and operators who\’ve built some of the most consequential software companies of the last decade: the founders of Slack, Figma, and Shopify, and Asana\’s former CRO and Head of OpenAI International. We\’re a small team with an unapologetically high bar. It shows up in the product, in how we communicate, and in the standards we hold each other to. At Humaans we\’re looking for genuinely good people that are transparent and emphatic. We\’re committed to providing equal opportunities, a diverse and inclusive work environment, and ensuring a fair interview process for everyone. You\’re welcome to apply no matter your gender, ethnicity, sexual orientation, religion, civil or family status, age, disability, or race. We care about your privacy. When you apply for a role at Humaans, we\’ll collect and process your personal data as part of our recruitment process. This includes things like your CV, contact details, and any other information you choose to share. We may also contact you about future opportunities. You can ask us to delete your data at any time. For more details, see our Privacy Policy. #J-18808-Ljbffr

SoundCloud empowers artists and fans to connect and share through music. Founded in 2007, SoundCloud is an artist-first platform empowering artists to build and grow their careers by providing them with the most progressive tools, services, and resources. With over 400+ million tracks from 40 million artists, the future of music is SoundCloud. SoundCloud is looking for a Senior Backend Engineer to join our Anti-Abuse Team, with a mission to keep connections between fans and creators safe and authentic, while building and operating an abuse prevention platform at global scale. The role can be based in either our Berlin or London office. Our services are at the heart of SoundCloud’s user journeys. We operate a substantial suite of event-based services, combining specialised and generalised detection approaches to tackle complex architectural problems where scale, adaptability and fast decision-making are critical. You’ll join a self-sufficient team passionate about abuse prevention, building scalable and adaptable solutions that stay ahead of emerging risks. The role combines long-term platform and architecture work with rapid response to new abuse vectors, giving you the opportunity to solve both strategic and time-sensitive engineering problems. You’ll have significant end-to-end ownership to identify problems, shape solutions and drive projects from the ground up, working directly with engineering and T&S Professionals. If you’re creative, proactive and enjoy being the expert who turns complex problems into effective solutions, you’ll have plenty of room to make an impact. • Build and evolve reusable platform capabilities and services that enable other teams to detect and respond to emerging abuse patterns at scale, • Shape the platform architecture and technical strategy, balancing long-term scalability with rapid responses to emerging challenges, • Partner with Product, Analytics, Trust & Safety professionals, and Engineering teams to identify and address abuse patterns across the organisation, driving alignment on solutions and communicating complex technical concepts clearly to diverse stakeholders., • Own problems end-to-end, from identifying opportunities and defining solutions to driving projects through delivery, • Make pragmatic technical decisions, balancing cost, latency, complexity, scalability and maintainability, • Drive architecture discussions, contribute to technical strategy, and improve engineering practices, processes and tooling., • Debug complex issues across data pipelines and distributed systems, • Continuously learn and share knowledge of industry best practices in abuse prevention and detection, • Be part of on-call rotation to ensure the reliability and availability of SoundCloud’s systems, • Experience designing APIs and backend services consumed by multiple client platforms, • Strong SQL skills for massive datasets (e.g. BigQuery or similar), • Knowledge of different API communication patterns (e.g., gRPC, GraphQL), • Strong professional experience with Go; experience with Scala or another language is a plus, • Nice to have: Experience in abuse prevention, fraud detection or Trust & Safety is a plus, • Nice to have: Experience using AI-assisted development tools and a strong intuition for their strengths, weaknesses, and emerging opportunities, • Extensive professional software engineering experience, including significant experience designing and operating distributed, event-driven backend systems at scale., • Hands‑on experience with infrastructure as code (IaC) using Terraform and cloud-native environments such as AWS or GCP, • Experience in building distributed data processing and ETL pipelines, metrics and supporting ML infrastructure, • Experience with microservices, SQL and NoSQL databases, container technologies, • You care about the craft of software engineering: continuous delivery, defensive programming, automated testing, security, clean code principles, • You have a strong sense of ownership and are comfortable navigating ambiguity in fast-moving environments, • You bring a humble, collaborative, team‑first mindset and an eagerness to learn and support your colleagues, • Bonus point: You love music, • We are a multinational company with offices in the US (New York and Los Angeles), Germany (Berlin), and the UK (London), • We provide a flexible work culture that offers the opportunity to collaborate and connect in person at our offices as well as accommodating work from home, • We are deeply committed to ensuring diversity, equity and inclusion at all levels of our organization and fostering a community where everyone’s voice, perspective and experience is respected and heard, • We believe a strong team is made by investing in employees through mentorship, workshops and enrichment opportunities The Recruiter will supply the benefit points based on the location SoundCloud is for everyone. Diversity and open expression are fundamental to our organization; they help us lead what’s next in music by understanding and empowering our creators and fans, no matter their identity. We acknowledge the challenges in the music industry, and strive to influence an inclusive culture where everyone can contribute respectfully and thrive, especially the historically marginalized communities that many of our creators, fans and SoundClouders identify with. We are dedicated to creating an inclusive environment at SoundCloud for everyone, regardless of gender identity, sexual orientation, race, ethnicity, migration background, national origin, age, disability status, or care-giver status. At SoundCloud you can find your community or elevate your allyship by joining a Diversity Resource Group. Diversity Resource Groups are employee‑organized groups focused on supporting and promoting the interests of a particular underrepresented community in order to build a more inclusive culture at SoundCloud. Anyone can join, whether you share the identity or strive to be an ally. #J-18808-Ljbffr

HCLTech is a global technology company, home to 219,000+ people across 54 countries, delivering industry-leading capabilities centered on digital, engineering and cloud, powered by a broad portfolio of technology services and products. We work with clients across all major verticals, providing industry solutions for Financial Services, Manufacturing, Life Sciences and Healthcare, Technology and Services, Telecom and Media, Retail and CPG, and Public Services. Consolidated revenues as of $13+ billion. For more information on how we process your personal data, please refer to HCLTech's Candidate Data Privacy Notice. RMS Trade Processing is a strategic platform acting as the primary record for financial products across the Bank, with a strong focus on complex OTC derivatives. It supports the full trade lifecycle - from initial booking and enrichment through amendments, allocations, and lifecycle events (such as roll, unwind, exercise, and expiry), to clearing, settlement, and downstream risk reporting - ensuring consistent and reliable trade representation across front, middle, and back office systems. As the RMS platform continues to expand its coverage of supported commodity products and trading flows, we are looking for a Lead Java Engineer to strengthen our experienced and dynamic team. Our technology stack includes Java, Spring, Kafka, Oracle Database, and React, offering opportunities to work across both backend and frontend components of a business critical system. • Lead the design, development, and delivery of scalable full-stack applications using Java, Spring Boot, Angular, and modern web technologies., • Drive technical architecture decisions and ensure solutions meet functional, non-functional, security, and regulatory requirements., • Own the end-to-end software development lifecycle, from solution design and implementation through deployment and production support., • Produce clear and comprehensive technical documentation covering architecture, design decisions, APIs, operational processes, and support procedures., • Support incident management, root-cause analysis, and implementation of long-term preventive measures., • Extensive experience (8+ years) in enterprise software development using Java (Java 17+ preferred), Spring Boot, Spring Framework, and related backend technologies., • Strong experience developing modern web applications using React, TypeScript., • Proven expertise in designing and implementing RESTful APIs and microservices architectures., • Strong commitment to test-driven development, automated testing, and quality engineering practices. #J-18808-Ljbffr

AI & Engineering Recruitment 2-year contract | Central London | Active SC | Outside IR35 Morela is supporting a specialist technology consultancy on a 2-year Data Engineer contract in Central London, delivering on a UK government programme. Outside IR35, rate TBC. We need a genuinely strong all-round data engineer first and foremost, with recent hands‑on RAG experience on top. Active SC is essential - eligibility will not be considered. A specialist technology consultancy embedding engineers into SC-cleared government delivery teams. They focus on long-term programme work and give their engineers real ownership of what they build. You will own the data platform behind the programme, from ingestion and modelling through to the retrieval layer that powers its AI capability. The core of the job is solid data engineering - reliable pipelines, clean models and well-governed data. On top of that you will build the RAG pipelines that turn large volumes of unstructured material into accurate, access-controlled answers. • Design, build and maintain robust batch and streaming pipelines (ETL/ELT) across structured and unstructured sources, • Model data for analytics and downstream use, with clear schemas, lineage and documentation, • Own data quality, validation, monitoring and alerting so the platform can be trusted, • Optimise pipelines and storage for performance, cost and scale, • Apply security, governance and access controls appropriate to an SC environment, • Build ingestion for unstructured content, including document parsing, OCR and metadata enrichment, • Build production RAG pipelines: chunking, embeddings, hybrid search (vector + BM25), reranking and context assembly, • Enforce document-level access controls at query time, • Evaluate retrieval and generation quality with measurable metrics, and iterate, • Work with self-hosted and open-weight models in secure or air‑gapped environments, • SC clearance: Active SC held, not eligibility, • Strong commercial data engineering background, building and running production pipelines end to end, • Excellent Python and SQL, • Solid grasp of data modelling, warehousing and lakehouse concepts, • Hands‑on with orchestration (e.g. Airflow, Dagster) and distributed processing (e.g. Spark), • Experience with cloud data platforms (AWS, Azure or GCP) and containerised deployment (Docker, Kubernetes), • Good engineering practice: version control, CI/CD, testing and infrastructure as code, • Recent RAG delivery: Hands‑on RAG systems built and shipped recently - current work, not an old proof of concept, • Vector databases (e.g. pgvector, OpenSearch, Qdrant, Weaviate), embeddings, hybrid search and reranking, • Experience evaluating RAG systems properly (e.g. (email address removed), faithfulness), • Streaming platforms such as Kafka, • Agentic or multi‑hop retrieval, GraphRAG, query rewriting, • vLLM or similar for on‑prem model serving, • LangChain, LlamaIndex, RAGAS or Langfuse, • Government, defence or national security programmes Central London, SC‑cleared environment, embedded in the programme team. Outside IR35, 2-year contract. #J-18808-Ljbffr

Department: Cyber Services and Capabilities Location: GBR Manchester Hardman Boulevard We are seeking an experienced Splunk Engineer to help design, build, and manage our Splunk SOAR service, with a strong focus on automation, security response, and service maturity. This role will be responsible for developing, reviewing, testing, and deploying Splunk SOAR playbooks into production environments, ensuring they are secure, reliable, and aligned with security governance and operational needs. The role requires a technically strong Splunk engineer with experience in SOAR development, Splunk architecture, and security engineering best practices. You will work closely with SOC teams, security engineers, and customers, owning your own workload and providing high‑quality delivery in a customer‑facing environment. Experience with AI‑enabled SOC capabilities, AI security tools, or AI‑assisted development is a strong advantage as we continue to evolve our automation and detection capabilities. • Own the build, operation, and continuous improvement of the Splunk SOAR service., • Design, develop, review, and maintain Splunk SOAR playbooks to support security detection, investigation, and response., • Translate security use cases, incidents, and operational requirements into effective automated workflows., • Test SOAR playbooks thoroughly and manage controlled deployment into production environments., • Ensure playbooks and integrations follow security engineering best practices and governance requirements., • Work closely with SOC analysts, security engineering teams, and stakeholders to optimise automation outcomes., • Perform playbook tuning, troubleshooting, and enhancements to improve reliability and response times., • Maintain clear technical documentation for playbooks, integrations, and processes., • Support live security operations where SOAR automation is involved., • Manage your own queue of work, prioritising tasks and communicating progress effectively., • Engage directly with customers, providing technical guidance, support, and assurance., • Proven experience as a Splunk Engineer, Splunk SOAR Engineer, or similar security automation role., • Strong hands‑on experience developing and managing Splunk SOAR playbooks., • Solid understanding of Splunk platform architecture, including:, • Search heads, indexers, forwarders, • Data ingestion and performance considerations, • Strong experience using Splunk SPL (Search Processing Language)., • Experience integrating Splunk SOAR with security tools such as SIEM, IAM, EDR, firewalls, and ticketing platforms., • Strong understanding of security engineering best practices, including incident response and automation safety., • Good understanding of security governance, policies, and control frameworks., • General understanding of software development practices, including:, • Version control systems (e.g. Git), • Code review and release controls, • Familiarity with CI/CD pipelines and deployment workflows., • Ability to work independently and take ownership of delivery and outcomes., • Practical knowledge of Python, particularly for playbook actions, scripting, or custom integrations., • Experience working with AWS and/or Azure environments., • Understanding of cloud security principles and services., • Knowledge of security engineering controls, particularly identity and access management (IAM)., • Experience working with APIs, webhooks, and automation integrations., • Familiarity with AI‑driven SOC capabilities, such as:, • AI‑assisted alert triage or incident enrichment, • Use of AI within detection and response workflows, • Experience using AI security coding tools or AI‑assisted development tools., • Exposure to infrastructure automation or infrastructure‑as‑code concepts., • Experience supporting managed security services or customer‑facing security platforms., • Strong customer‑facing skills, able to communicate clearly and confidently with technical and non‑technical audiences., • Highly organised, with the ability to manage your own workload and priorities effectively., • Analytical and methodical approach to problem‑solving and automation design., • Proactive mindset with a focus on continuous improvement., • Comfortable operating in fast‑paced, security‑critical environments., • Collaborative team player with a strong sense of ownership and accountability., • Flexible Working: Balance your work and personal life with our flexible working options., • Generous Holiday Allowance: Enjoy 25 days of holiday, plus bank holidays, with the option to buy up to 5 additional days of annual leave., • Medicash & Critical Illness Scheme, • Financial & Investment Benefits: Enjoy peace of mind with our Pension, Life Assurance, and Share Save Scheme., • Community & Volunteering Programmes: Make a difference in your community with our volunteering opportunities., • Green Car Scheme: Drive green and save money with our eco‑friendly car scheme., • Cycle Scheme: Stay fit and healthy with our cycle-to-work scheme., • Special Time Off: Take time off for those big moments in life, like getting married/entering into a civil partnership, becoming a grandparent, and welcoming home a new pet., • Family Planning: Benefit from our generous maternity and paternity leave, as well as time off and support for those undergoing fertility treatments. We are committed to diversity and flexibility in the workplace. If you require any reasonable adjustments to support you during the application process, please tell us at any stage. Please note that this role involves mandatory pre‑employment background checks due to the nature of the work NCC Group does. To apply, you must be willing and able to undergo the vetting process. #J-18808-Ljbffr

As one of the world's largest networks of audit, tax and consulting firms, RSM delivers big ideas and premium service to help middle-market businesses thrive. We are a fast-growing firm with big ambitions - we have a clear goal to become the premium adviser to the middle market, globally. This vision touches everything we do, motivating and inspiring us to become better every day. If you are looking for a firm where you can build a future and make an impact, then RSM is the place for you. Are you passionate about transforming data into meaningful insight that drives business growth? We are seeking a MarComms Intelligence Data Lead to play a pivotal role in shaping how client, relationship and market intelligence supports our firm's growth ambitions. Sitting at the heart of our Integrated Marketing & Communications function, you will own the quality, governance and strategic use of data across our CRM, marketing and intelligence platforms. Working closely with stakeholders across Marketing, Business Development, IT and the wider business, you will turn complex data into actionable insight, helping teams identify opportunities, strengthen client relationships and make better-informed decisions. As the analytical and data stewardship counterpart to our Growth Platform Lead, you will champion data excellence, drive reporting and insight capability, and help unlock the value of AI‑enabled intelligence to support future growth. • Own data quality standards and governance for client/relationship data across Dynamics and connected systems, including the inconsistency problem you flagged, • Design and own the reporting and insight layer: pipeline reporting, client growth opportunity surfacing, cross‑sell/relationship intelligence outputs for the IMC team and beyond, • Define what "good data" looks like and the operating model to sustain it (data entry incentives, ownership, and stewardship), • Lead AI‑enabled data quality and enrichment use cases (third‑party enrichment, predictive flags) in partnership with Growth Platforms on tooling, • Translate data into growth‑facing outputs partners will actually act on Are you someone who thrives on variety, loves learning new things, and enjoys connecting with people? If you can spot inefficiencies in everyday life and are passionate about making improvements, this role is perfect for you! We value diverse experiences and perspectives. Here’s what we’re looking for in our ideal candidate: • Data/analytics background in a relationship‑driven B2B context (not pure BI — this needs someone who understands why a partner won't fill in a CRM field), • Experience with data governance and stewardship models, • Comfortable working with AI/ML‑enabled data tools, • Strong enough communicator to sell insight to non‑technical senior stakeholders. We recognise that our people are our most important assets. That’s why we offer a flexible reward and benefits package that will help you have fulfilling experience, both in and out of work. • Hybrid and Flexible working, • 27 Days Holiday (with the option of purchasing additional days), • Lifestyle, Health, and Wellbeing including financial wellbeing benefits such as financial tools, electric car scheme and access to a virtual GP., • Access to a suite of 300+ courses on demand developed by our in‑house Talent Development team. At RSM, we want to create a strong sense of belonging so that people of all identities, backgrounds, and cultures feel they can bring their true self to work. Our clients come from all walks of life. We aim to achieve that same diversity of background, experience and perspective in our own teams, so that we can genuinely understand our client's needs. Diverse teams bring a broader range of ideas and insights to work. That's why we're working together to ensure our firm's principles and processes support a firm culture that embraces difference and strengthens inclusion. At RSM we work hard to create an environment where our people can make a difference - to themselves, their career, their teams, and to the success of our firm and clients. We support all our people to work flexibly, to manage their family and other responsibilities alongside their work commitments; we believe this is key to achieving an inspiring and fulfilling working environment. #J-18808-Ljbffr

The Opportunity Qualified Solutions Engineers act as the tip of the spear for our Go-to-Market (GTM) team. SEs are focused on delivering world-class product demonstrations, driving product development based on market feedback, and building scalable solutions for the entire GTM team. You’ll work closely with Account Executives, but you’ll also partner with Qualified Success Architects and Support to figure out where gaps are and how they may be filled by collaborative efforts. We’re looking for an A+ player that will help make the most of the incredible market opportunity that lies ahead. Your work will be critical for the success of our customers and our company. What You'll Be Doing • Showcasing Qualified to prospective customers with world-class product demonstrations. Think: custom demos, discovery demos, and technical workshops on the scale of ~15 per week., • Become a subject matter expert on Qualified’s capabilities, customer stories, and best practices, • Build a deep understanding of Salesforce architecture, marketing automation, data enrichment, and other high-leverage technologies, • Own the technical discovery and qualification process for Qualified prospects and provide guidance on technical deal strategy, • Partner with Account Executive teams to identify customer business goals, needs, and pains, • Provide technical responses to Security Questionnaires, • Write technical blog content about Qualified capabilities, • Act as the voice of the customer by translating, aggregating, and representing product feedback to the Product and Engineering teams, • Monitor industry news on technology products, partners, and competitors to ensure you and your team provide a deep ecosystem expertise Qualifications: • Bachelor's Degree, • 5+ years of relevant Solutions Engineering experience, • Experience in Salesforce CRM, marketing automation, and data enrichment, • Excellent communication skills and polished presenter, • Seamlessly relate complicated concepts to non-technical people while maintaining the ability to speak credibly to highly technical people., • Solution sales driven and a clear understanding of the business value, • Proven experience providing pragmatic solutions to a complex set of customer requirements that lead to winning the deal., • You feel comfortable leading presentations and demos of our platform to large groups, both technical and non-technical., • Ability to hear customer pains, identify root-cause analysis in real-time and tie business problems to Qualified’s technical solutions with an understanding of technology value propositions., • Proven capacity to quickly absorb new concepts and technologies., • Perform well under uncertain, high pressure, and high impact conditions., • Bonus: Documented programming experience (frontend or backend programming languages. Apex is a plus!) We are a recognised Disability Confident member under the UK Government Disability Confident employer scheme. We are committed to providing an inclusive recruitment process and will offer an interview to disabled applicants who meet the essential criteria for the role. Applicants are welcome to opt-in to the interview scheme as part of the application process. If you would like to apply under the scheme, please click the link to the Accommodations Request Form above and scroll to the UK Disability Confident Scheme section within the form. #J-18808-Ljbffr

Who are we? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! The Data Infrastructure team at Cohere is responsible for the storage and data movement layer underlying every model training run. We're building the unified storage layer that feeds our training workloads. It needs to serve petabytes of training data and model checkpoints fast enough to keep thousands of GPUs busy across several training clusters. In this role, you’d have an opportunity to build this system from the ground up. You’d be a key contributor, working on a problem few teams have had to solve at this scale. In this role, you will: Design, build, and operate the distributed storage system that feeds model training and evaluation. Run this system multiple on Kubernetes clusters at petabyte scale. Work with researchers and training-infra teams on how jobs actually read and write data, and turn that into throughput, latency, and durability requirements Work through the networking, I/O, and consistency problems of moving large datasets and checkpoints across regions and backends, with GPU idle time and time-to-insight as the measures of success You may be a good fit if you have: Strong storage fundamentals, including replication, consistency, caching, and data lifecycle management. Strong coding ability. We work in Python and Go; experience in either is enough, but you should be willing to pick up the other Experience running stateful systems on Kubernetes, including Persistent Volumes, CSI drivers, and StatefulSets. Hands-on experience with cloud object storage such as S3 as well as POSIX-style filesystems. It’s a bonus if you have: Experience with parallel or HPC filesystems such as Weka, VAST, or Lustre. Familiarity with the data-loading and checkpointing patterns used in large-scale model training. An interest in how large models are trained and evaluated, including the trajectory and eval data those runs generate, and a desire to understand the workloads the platform is serving. A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch. Full health and dental benefits, including a separate budget for mental health. RRSP matching, 401K, Pension Scheme. 100% Parental Leave top-up for up to 6 months, for either parent. Annual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit. Education & learning stipend for conferences, courses, and coaching. 6 weeks of paid vacation (30 working days!) Budget for traveling to other offices if you are remote, plus an annual company offsite. Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon. For those in the office: a daily lunch program, plenty of snacks, and regular community and social events. For those not near an office: a co-working benefit so you can work alongside others in your city. Everyone receives a $500 home office stipend to set up your workspace properly. We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form, and we will work together to meet your needs. We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider. Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers page. #J-18808-Ljbffr

FDJ UNITED is one of Europe’s leading betting and gaming operators, with a vast portfolio of iconic brands and a reputation for technological excellence. With more than 5,000 employees and a presence in around fifteen regulated markets, the Group offers a diversified, responsible range of games, both under exclusive rights and open to competition. We set new standards, proving that entertainment and safety can go hand in hand. Here, you’ll work alongside a team of passionate individuals dedicated to delivering the best and safest entertaining experiences for our customers every day. We’re looking for bold people who are eager to succeed and ready to level‑up the game. If you thrive on innovation, embrace challenges, and want to make a real impact at all levels, FDJ UNITED is your playing field. Join us in shaping the future of gaming. Are you ready to level‑up the game? Focusing on our Sportsbook product, we’re looking for a Senior Software Engineer to help build and evolve our next‑generation trading risk platform, powering real‑time liability and exposure management across multiple brands and markets. You’ll primarily work on our Core Liability engine – a modular, event‑driven system – delivering fast, accurate, and real‑time insight into live positions and risk. This platform underpins critical trading decisions and represents a major step forward in scalability, resilience, and streaming architecture across our technology estate. • Design and build distributed, real‑time streaming components within a Flink‑based architecture., • Develop and maintain services that process the full bet lifecycle, from acceptance through settlement, cancellation, and cashout., • Implement complex financial calculations, including multi‑bet and bet‑builder logic, ensuring accuracy and consistency at scale., • Build systems that aggregate exposure and generate real‑time risk insights across outcomes, markets, and customers., • Contribute to a granular alerting framework that detects and publishes meaningful changes in liability., • Ensure correctness in a high‑throughput environment through robust handling of ordering, duplication, and idempotency., • Optimise streaming jobs for latency, throughput, and resource efficiency., • Collaborate closely with trading and product teams to translate domain requirements into scalable, reliable systems., • Contribute to a modular architecture where components evolve independently and scale with increasing demand., • A real‑time liability platform providing live visibility into exposure and risk across brands and jurisdictions., • A Flink‑based streaming ecosystem composed of specialised components for ingestion, enrichment, calculation, aggregation, and alerting., • Event‑driven systems that process high volumes of bet events with strong consistency guarantees., • Outcome‑level alerting that enables faster and more informed trading decisions., • Integration with downstream systems, including trader‑facing tools., • 5+ years software engineering experience in building distributed systems., • Excellent Java skills., • Experience with streaming technologies (Apache Flink preferred; Kafka Streams, Spark Streaming, etc.)., • Solid understanding of event‑driven architecture and asynchronous processing patterns., • Experience handling data consistency challenges such as at‑least‑once processing, idempotency, and event ordering., • Experience building high‑throughput, low‑latency systems in production environments., • Ability to model complex domain logic and translate business requirements into robust technical solutions., • Experience in cloud computing, ideally AWS., • Proactive attitude and ability to deal with and account for uncertainty, with the flexibility to learn by iteration., • Experience in sports betting, trading platforms, or financial systems., • Experience building real‑time alerting or monitoring systems., • Exposure to modern data platforms or lakehouse architectures. We welcome applicants from all backgrounds and evaluate each candidate based on merit, regardless of personal characteristics such as age, gender, origin, religion, sexual orientation, neurodiversity, or disability. #J-18808-Ljbffr

Build AI-powered product capabilities that automate, predict, and simplify user workflows Spendesk is looking for a Backend Software Engineer (IC3) to join our AI & Data Products squad and help build the next generation of product features powered by AI, ML, and intelligent automation. This is a hands‑on backend role focused on turning predictive models, LLM capabilities, and business intelligence into real product experiences. You will work on backend services, APIs and MCPs that bring automation, prediction, and assisted decision‑making into Spendesk’s user journeys, helping reduce manual work and make our product more proactive and intelligent. You will collaborate closely with the 3 ML Engineers in the squad, as well as Product Managers, Designers, and applicative squads across Spendesk. Together, you will build production‑grade services that expose ML‑driven and LLM‑driven capabilities in ways that are reliable, observable, and valuable for end users. As a Backend Software Engineer (IC3) in the AI & Data Products squad, you will design, build, and operate backend services that power AI‑native and ML‑native product features. Your mission is to help Spendesk move from isolated intelligence components to real, user‑facing product capabilities. In practice, this means partnering with ML Engineers to productionize predictive logic, expose it through clean APIs and services, and integrate it into workflows that automate tasks, simplify decision‑making, or anticipate user needs. • automated categorization and enrichment of spend-related workflows,, • predictive assistance in finance or accounting journeys,, • intelligent recommendations based on historical behavior or contextual signals,, • LLM-powered experiences that simplify user actions and reduce friction,, • backend services that make AI capabilities reusable across multiple product flows., • Design, build, and operate backend services and APIs that power AI-driven, ML-driven, or automation-heavy product capabilities., • Translate predictive logic and AI outputs into reliable backend behaviors that can be consumed by user-facing product flows., • Build the service layer that allows intelligent features to be integrated into real workflows with strong standards on latency, reliability, and security., • Ensure features are designed for production, not just experimentation, with clear ownership of deployment, monitoring, and maintainability., • Partner closely with the squad’s ML Engineers to productionize predictive models and LLM-driven capabilities., • Integrate model-serving APIs or LLM calls into robust backend services (your squad, or the applicative squad’s services) with proper retries, fallbacks, and observability., • Help define evaluation and monitoring patterns that make intelligent product behaviors measurable over time., • Contribute to the engineering patterns that allow ML and AI capabilities to be reused across multiple product features., • Build backend capabilities that help automate repetitive tasks, anticipate user needs, or simplify complex workflows., • Work on product experiences where AI or ML can reduce manual effort, improve decision quality, or shorten time to value for users., • Partner with Product and Design to turn ambiguous ideas into concrete backend implementations with measurable impact., • Bring pragmatism to delivery, balancing experimentation speed with long‑term maintainability and trust., • Instrument services with logs, tracing, and metrics to support production visibility and continuous improvement., • Define and uphold standards around latency, resilience, failure handling, and cost efficiency for AI-powered services., • Build with responsible data handling, security, and privacy by default, especially when features interact with sensitive financial workflows., • Embrace a “you build it, you run it” mindset, owning the health and quality of what you ship., • Work hand-in-hand with ML Engineers, Product Managers, and Designers to deliver AI-powered product capabilities end-to-end., • Collaborate with applicative squads (or join them for a quarter) to integrate AI and ML services into existing user journeys and backend systems., • Help define the technical interfaces and integration patterns that make intelligent services easier to adopt across the product., • Share best practices in backend reliability, production readiness, and AI feature delivery across the engineering organization., • Significant experience on backend software engineering experience in production environments., • A strong track record of designing and shipping reliable backend services with measurable user or business impact., • Experience contributing to complex product initiatives in fast-paced, cross‑functional teams., • Exposure to ML-enabled or AI-enabled product features is a strong plus., • Strong backend engineering skills with TypeScript / Node.js or adjacent technologies., • Experience designing APIs and service layers for complex product workflows., • Good understanding of distributed systems, async processing, and operational reliability., • Practical experience, or strong interest, in integrating predictive models, LLM APIs, or other AI capabilities into product backends., • Familiarity with technologies such as Kafka, SQS, Step Functions, PostgreSQL, and modern observability practices., • Highly autonomous and comfortable owning backend systems from design to production., • Product-minded, customer-focused, and motivated by building features that create visible value for end users., • Comfortable working closely with ML Engineers and translating their outputs into durable product capabilities., • Pragmatic and impact-driven, able to move from experimentation to production without losing engineering rigor., • Fluent in written and spoken English, our business language., • Experience productionizing ML-backed features such as classification, recommendation, forecasting, or automation, • Experience integrating LLM-backed capabilities into product workflows, • Familiarity with evaluation patterns for AI-powered features, • Experience in SaaS, fintech, or regulated environments, • AI-first, product-led: prototype fast, dogfooding, iterate based on data, • You build it, you run it: owning deployment, monitoring, and continuous improvements, • Collaboration by default: PM, Design, ML Engineering, and Backend Engineering work together toward outcomes, • Pragmatic engineering: we optimize for impact, not theoretical perfection, • You’ve shipped or materially advanced a production-grade backend service powering an AI-driven or ML-driven product capability., • You’ve partnered effectively with one or more of the squad’s ML Engineers to turn predictive or generative logic into a reliable user-facing backend flow., • You’ve improved the production readiness of an intelligent feature, for example through better observability, service integration, fallback handling, or evaluation metrics., • You’ve contributed to a reusable backend pattern that makes future AI-powered product features easier to build across Spendesk. We value regular in‑person collaboration. We’re primarily hiring in Paris, London or Barcelona with a flexible hybrid setup. Outstanding remote candidates may be considered, but this is not a remote‑first role. • HR screening call, • Discussion with the Hiring Manager, • Technical interview, live coding and/or system design depending on profile, • Final interview with leadership Spendesk is the AI-powered spend management and procurement platform that transforms company spending. By simplifying procurement, payment cards, expense management, invoice processing, and accounting automation, Spendesk sets the new standard for spending at work. Its single, intelligent solution makes efficient spending easy for employees and gives finance leaders the full visibility and control they need across all company spend, even in multi-entity structures. Trusted by thousands of companies, Spendesk supports over 200,000 users across brands such as Payfit, Accor, Welcome to the Jungle, Swile, Big Mamma, Malt and Yousign. With offices in the United Kingdom, France, Spain and Germany, Spendesk also puts community at the heart of its mission. For more information: www.spendesk.com/press We believe that people do their best work when they’re given the freedom to thrive and grow. That’s why liberation is at the core of everything we do. We empower Spendeskers to take ownership of their work, to navigate ambiguity, and seize every opportunity. Spendeskers come from all over the world (35+ countries and counting!) but we have plenty in common: we're bold, ever-curious, committed to kindness, and tackle every challenge with a positive mindset. Our culture is built on trust, empowerment, and growth — with benefits to match! • Flexible on-site and remote policy, • Latest Apple equipment — the tools you need to excel, • Access to Moka.care — for emotional and mental health wellbeing, • Great office snacks — to fuel your day, • A positive team to work with daily! We also offer location-specific benefits tailored to each market, including health insurance, wellness allowances, commuter support, meal vouchers, and gym memberships — ensuring you're well supported wherever you're based. At Spendesk, we're committed to fostering an environment where all differences are encouraged, supported and celebrated. We're building our culture for everyone, with everyone. Our goal is to attract and build a diverse, equal and inclusive team, where everyone feels welcome and we truly embrace and encourage people from all backgrounds to apply. Spendesk is Europe’s leading AI-powered spend management and procurement platform that transforms company spending. By simplifying procurement, payment cards, expense management, invoice processing, and accounting automation, Spendesk sets the new standard for spending at work for companies with up to 1,000 employees. Trusted by thousands of companies, Spendesk supports over 200,000 users across brands such as SoundCloud, Pigment, and Bloom & Wild. With offices in the United Kingdom, France, Spain, and Germany, Spendesk also puts community at the heart of its mission with CFO Connect. Spendesk believes that people do their best work when they’re given the freedom to thrive and grow. Being bold, bringing a positive attitude, and taking full ownership are fundamental to their culture. Ready to grow further? Check out their open roles! #J-18808-Ljbffr

Our Practice Solutions team leads the Firm’s innovation initiatives, supporting our lawyers in client delivery excellence. The team has deep expertise in working with established and emerging technologies, data analytics and data science, knowledge solutions and process re-engineering. The Practice Solutions team works with our lawyers to identify innovative solutions to support our clients. Through fostering a Firmwide culture of innovation, we encourage our lawyers to think creatively about how to deliver the best value to our clients and we ensure that White & Case remains at the forefront of advancements in the legal industry. We are looking for a Legal Knowledge Engineer to help ensure we drive value from the systems that hold, classify and surface our knowledge. You will use AI to enhance the firm's knowledge, and onboard teams to the firm's knowledge systems. In practice this makes the role part builder, part governor and part translator: building the classification and metadata that make content usable, governing the quality of that work as it scales across teams, and translating what fee earners need into changes the firm's knowledge and AI systems can actually deliver. This role requires a dual skillset. It calls for someone comfortable working hands-on with taxonomies, metadata and AI tooling, but equally comfortable working with lawyers to understand how they work and where knowledge is created, lost or duplicated. The firm is consolidating its knowledge estate and connecting that knowledge to the tools lawyers use day to day - this role is central to making that happen. The White and Case knowledge strategy rests on four pillars: clean data, a single system, governed AI assets, and a culture of sharing. Our Legal Knowledge Engineer is the operational role that carries much of that work into individual practices. You will support the implementation of the firm's strategic knowledge system, partnering with PSLs/Knowledge Lawyers and supporting roles to drive value from our knowledge. A primary focus will be on automated classification at scale, the classification playbook resourcing model, and onboarding teams to the new systems. Classification, Metadata and Enrichment (Pillar: Clean Up Data) • Build classification capabilities for teams that need significant support, taking a lead role in their design and working directly with lawyers to validate outputs before they are relied upon, • Provide a governance layer over classification work carried out by PSLs and other domain experts, so that skills are built consistently, produce good results, and are measured properly rather than assumed to work., • Design and run classification at scale so the firm can handle the large majority of tagging and profiling centrally, with domain experts validating the output rather than manually re-profiling document by document., • Use AI to enhance the firm's knowledge: reducing the burden of long classification forms, producing draft profiles for PSL review, and enriching content with the metadata that makes it findable and useful., • Define practice-specific metadata with each team, including their legal topics, document types and the data points that matter to how they practise., • Bring rigour to how classification quality is assessed, including the use of gold sets, calibration and review feedback loops, so confidence in a skill's output is earned from evidence rather than asserted. Requirements and Practice Engagement (Pillar: Single System) • Work with fee earners and practice groups to understand their knowledge requirements across content, features and data, ensuring those needs inform the firm’s knowledge strategy and system development., • Act as a point of contact for those who need help leveraging knowledge, supporting them and building up their skills so the firm's classification and curation capacity grows rather than staying concentrated in one place., • Interface with Practice Solutions teams to identify where knowledge can be captured or consumed within the tools and workflows those teams own. AI Assets and Downstream Systems (Pillar: Govern AI Assets) • Govern the firm's AI assets, including prompts, workflows and skills, so they are portable and vendor-agnostic, able to be shared and moved between systems rather than locked into a single platform., • Work with downstream systems that consume knowledge, to operationalise the connection of the firm's knowledge into the tools where lawyers do their work., • Help ground the output of AI tools in the firm's approved knowledge, so that what they produce reflects firm precedent rather than generic suggestions. Onboarding, Adoption and Culture (Pillar: Build Culture) • Onboard teams onto the firm's knowledge systems, helping them get their content, metadata and system configuration into good shape., • Work with the Change Management team so that the communications and messaging around onboarding are clear and land with the people they are aimed at., • Support efforts to instil a knowledge-sharing culture, addressing not just whether people can share knowledge but whether they actually do. Part of this role is helping make knowledge contribution worthwhile and its value visible., • Deploy strategies to capture relevant usage and content metrics to drive the firm's knowledge strategy forward., • Work with the firm's search tooling at a tactical and feature level to make sure the firm is getting the most out of what it has bought., • Look at how lawyers work in iManage and find the points where knowledge sharing and data capture can happen naturally, as a by-product of normal work rather than a separate task. Experimentation and Staying Ahead • Run experiments on how the firm classifies know-how and final work at scale, and turn what is learned into concrete proposals for what to try next., • Maintain a working view of where knowledge tooling is heading, including knowledge graphs, retrieval-based approaches and the emerging patterns for structuring knowledge so it can be used by machines as well as people, and judge what is worth bringing into the firm's approach., • You bring a background in knowledge or legal experience, with real technical fluency; or a technical or data background, with the ability to navigate complex stakeholders., • Comfortable working with structured knowledge, including taxonomies, metadata schemes and document classification, and an understanding of why getting these right matters., • Practical fluency with current AI tooling, including prompts, skills-style reusable instructions and classification approaches, and enough understanding of how these behave to judge when output can be trusted., • The ability to work directly and credibly with lawyers, drawing out how a team practises and what it needs without requiring them to speak in systems terms., • Strong stakeholder engagement across a range of audiences, from individual PSLs to practice group leadership and technology teams., • An instinct for measurement and evidence, rather than a willingness to assume that a system works because it was built., • Curiosity about where the field is going and the discipline to turn that curiosity into things the firm can try., • Legal practice experience is an advantage but not a strict requirement for a candidate strong on the technical and engagement sides. Equally, deep KM experience without any technical confidence is unlikely to be enough on its own, given how much of the role involves building and judging AI-driven classification., • This role is based in London., • Our standard office hours are 09:30-18:00, with a requirement for 4 days (Monday – Thursday) in the office per week. We offer a flexible range of benefits, services, and programmes designed to help support your lifestyle requirements. Some of the benefits currently available include: • Private medical insurance, • Pension plan with matched employer contribution up to 7.5%, • Yearly wellbeing fund, • Income protection, • Life insurance, • Critical Illness insurance, • Private GP services, • Travel insurance, • Dental coverage, • Cycle to work, • Holiday purchase (available during annual enrolment) Associate Director, Knowledge Solutions White & Case is committed to creating a fair workplace. It is our Firm’s policy to recruit, employ, train, compensate, and promote without regard to race, religion, creed, national origin, age, gender, sexual orientation, marital status, military or veteran status, disability, genetic information, or any other category protected by applicable law. If you require assistance and/or adjustment to participate in our application and/or interview process, email us. We will be happy to work with you. The Firm may modify and amend any job description at any time in its sole discretion. Nothing herein creates a contract of employment or otherwise modifies the at-will nature of employment. The above is only a general description of the essential duties associated with this position and does not represent an exhaustive or comprehensive list of all duties. Our internal Recruitment team manages all aspects of lateral hiring. All agencies must have signed terms of business—specific to the relevant office—before submitting any candidates. CVs or applications sent directly to White & Case partners or employees will also not be considered formal introductions. If you have questions, please contact the relevant Recruitment team. We work with our preferred suppliers when engaging agencies. #J-18808-Ljbffr

Founded in 2017, Wayve is the leading developer of Embodied AI technology. Our advanced AI software and foundation models enable vehicles to perceive, understand, and navigate any complex environment, enhancing the usability and safety of automated driving systems. Our vision is to create autonomy that propels the world forward. Our intelligent, mapless, and hardware-agnostic AI products are designed for automakers, accelerating the transition from assisted to automated driving. In our fast-paced environment big problems ignite us—we embrace uncertainty, leaning into complex challenges to unlock groundbreaking solutions. We aim high and stay humble in our pursuit of excellence, constantly learning and evolving as we pave the way for a smarter, safer future. At Wayve, your contributions matter. We value diversity, embrace new perspectives, and foster an inclusive work environment; we back each other to deliver impact. Make Wayve the experience that defines your career! The role As a Staff Software Engineer for the Data Enrichment Platform, you will own the technical vision for the systems that enable Wayve’s teams to deploy, run, evaluate and continually improve machine-learning models. You will shape a platform that processes petabytes of driving data, operates across large GPU fleets and supports dozens of model engineers. Working across model engineering, infrastructure, compute and data teams, you will create dependable, self-service capabilities that improve model quality while reducing cost and operational effort. Key responsibilities: • Define the technical vision and architecture for Wayve’s end-to-end Data Enrichment Platform., • Lead the development of backend services, APIs, model-execution workflows, versioned outputs, annotation capabilities and dataset catalogues., • Build scalable and reliable systems for large-scale inference, automated evaluation, model monitoring, active learning and retraining., • Partner with platform teams to address data locality, scheduling, capacity, backpressure, failure recovery, observability and cost across petabyte-scale datasets and large GPU fleets., • Make effective build, buy, reuse, integrate, consolidate and replace decisions as Wayve’s requirements and the technology landscape evolve., • Establish clear technical boundaries and working relationships across AI Platform, infrastructure, compute, storage, data and model-engineering teams., • Remain hands-on while leading cross-team delivery, mentoring engineers and driving the adoption of reusable, self-service platform capabilities., • Define measurable service levels and success metrics covering platform reliability, throughput, cost, automation and adoption. About you In order to set you up for success as a Staff Software Engineer for the Data Enrichment Platform at Wayve, we’re looking for the following skills and experience. Essential • Experience owning the long-term technical direction and measurable outcomes of a complex, multi-system platform or capability., • Strong production software-engineering experience in Python, including building maintainable, tested and observable backend services, APIs and data-processing systems., • Deep experience designing and operating large-scale distributed systems for data-intensive or compute-intensive workloads., • A track record of productising internal platforms for broad adoption, with a focus on reliability, usability and self-service., • Excellent architecture and technology judgement, combined with the ability to remain hands-on and lead delivery across organisational boundaries., • Strong communication and influencing skills, with experience mentoring senior engineers and aligning multiple technical teams. Desirable • Experience with workflow-orchestration technologies such as Flyte, Airflow, Dagster or Argo., • Experience building large-scale batch-inference or ML-platform systems, including model deployment and model registries., • Knowledge of Spark, Databricks, Ray or comparable distributed-compute technologies., • Experience with annotation or dataset-catalogue platforms, including metadata, provenance, versioning, lineage and quality control., • Experience with Kubernetes, GPU infrastructure and cost-aware cloud architecture., • Experience implementing continuous evaluation, model-quality monitoring, active-learning or automated retraining workflows., • Experience designing or operating production platforms for robotics or computer-vision workloads, with an understanding of how data, annotation, inference, evaluation and monitoring fit together. Relevant workloads could include object detection, depth estimation, segmentation, tracking, sensor data or 3D models; computer-vision research expertise is not required. Wayve is committed to creating an inclusive interview experience. If you require any accommodations or adjustments to participate fully in our interview process, please let us know. We understand that everyone has a unique set of skills and experiences and that not everyone will meet all of the requirements listed above. If you’re passionate about self-driving cars and think you have what it takes to make a positive impact on the world, we encourage you to apply. At Wayve we're committed to creating a diverse, fair and respectful culture that is inclusive of everyone based on their unique skills and perspectives, and regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, veteran status, pregnancy or related condition (including breastfeeding) or any other basis as protected by applicable law. For more information visit Careers at Wayve. To learn more about what drives us, visit Values at Wayve For US candidates only, please visit E-Verify Notice and Participation and Right to Work DISCLAIMER: We will not ask about marriage or pregnancy, care responsibilities or disabilities in any of our job adverts or interviews. However, we do look to capture information about care responsibilities, and disabilities among other diversity information as part of an optional DEI Monitoring form to help us identify areas of improvement in our hiring process and ensure that the process is inclusive and non-discriminatory. #J-18808-Ljbffr

The role the company, part of Nebius, is the web access layer for AI agents. Over two million developers use us, and our customers include Fortune 500 companies running agents in production. Vertical search is where we combine public sources with premium vertical data and shape the result into a product for a specific use case. This role owns that layer end to end. You decide which industries and use cases we productize. With the data team, you find and evaluate the public and premium data providers behind each one. You shape the product surface that sits on top. You will sit with customers in these industries, learn how they actually work, and turn their needs and pain points into clear specs. You will build with engineering, ship it, and make sure go-to-market knows how to sell it. You own the outcome, not just the handoff: from the first market call through to adoption and revenue. The hard part is choosing. There are more verticals worth building than we can build, and the difference between a good year and a wasted one is knowing which ones to invest in and which to walk away from, even when a large customer is asking for another. In your first year, we expect you to know our top use cases better than anyone here, ship a product built for one of them that customers will pay more for, and have a defensible view of what comes next. This is a hands‑on senior IC role with real ownership. You will work within a small PM team reporting to the Director of Product, alongside engineering, research, data, and go‑to‑market. Your responsibilities will include: • Own the vertical roadmap. You decide where we invest, what we ship for each, and when a vertical is not worth it., • Shape the product surface on top of the data, so a customer gets something built for their job., • Find and evaluate the data behind each vertical, across public sources and paid providers, and decide what is worth investing in., • Sit with customers in these industries until you understand their workflow, then turn that into specs engineering can build., • Set what a good answer looks like in each use case, working with our evaluation team, who own how we measure it., • Work with customer success to learn what customers ask us for and what makes them leave., • Partner with the search owner on how results should be ranked and shaped for each use case.We expect you to have:, • 5+ years of product management experience, with a meaningful portion in search, data, or industry‑specific AI products., • Experience building products for a specific industry or use case, combined with enough technical depth to work directly on the data underneath: where it comes from, how good it is, and what it takes to make it usable., • A track record of real customer discovery: you have gone deep on how a particular kind of team works, and shipped something because of what you found., • Experience in API‑first or developer‑platform businesses., • Strong understanding of LLMs, AI agents, and how search and retrieval systems fit into agentic workflows., • A technical background, through a degree in computer science or engineering or equivalent hands‑on experience, with the ability to engage deeply with technical architecture and tradeoffs., • The ability to influence and align cross‑functional stakeholders without formal authority.It will be an added bonus if you have:, • Domain experience in market intelligence, news, financial research, or another data‑heavy industry., • Background at a data provider, enrichment vendor, market intelligence platform, or vertical search company, or experience building vertical data products in‑house., • Experience evaluating and working with external data providers, including judging quality and negotiating what you actually need., • Leadership experience in a high‑growth technology company, especially post‑acquisition or startup‑within‑a‑larger‑org environments. Find Jobs in United Kingdom on Arbeitnow #J-18808-Ljbffr

Department: Marketing Locations: London Job Requisition ID: JR001861 This role sits within Integrated Marketing and partners closely with SMB Sales, Marketing Ops, Lifecycle, and Product Analytics. We operate a hybrid PLG + sales motion, where a large portion of demand is generated through product and inbound, but monetised through a mix of self-serve and sales-assisted conversion. This role will work directly with the SMB team. Most growth teams optimise for traffic and pipeline. This role is about conversion. Miro has strong inbound, solid product-market fit, and a growing enterprise motion. What’s missing is a system to convert high-intent users who are already in our funnel but aren’t converting today. This role builds that system. You’ll create and operate a scaled demand engine that sits between self-serve and sales. The focus is simple: capture high-intent users at the point of friction and convert them quickly through human-led engagement. This is a build role. You’ll own the motion end-to-end, stand it up from zero, and prove it works. AI is core to how this gets built. Not as a layer on top, but embedded in targeting, routing, and execution from day one. • Build and launch a scaled demand engine focused on conversion, not top-of-funnel, • Stand up inbound chat across high-intent surfaces (pricing, product, upgrade points) and optimise for speed and conversion, • Design and run outbound programs using propensity modelling to engage high-intent accounts not yet converting, • Own the full funnel from first touch to conversion, with clear accountability for pipeline and ARR, • Work directly with SMB reps to drive high-velocity conversion, • Partner with Marketing Ops to build routing, enrichment, and automation workflows with AI embedded throughout, • Define and implement attribution and incrementality frameworks from day one, • Build dashboards that clearly show impact vs existing channels, • Rapidly test, iterate, and improve performance based on real conversion data, • Proven experience building and operating demand or growth motions from scratch, • Strong execution instinct: you move quickly and get things live without waiting for perfect conditions, • Deep understanding of conversion, funnel mechanics, routing, and attribution, • Experience working directly with sales teams in high-velocity environments, • A practical approach to AI:, • You integrate AI into workflows that others can use, • You use AI to improve targeting, routing, and decision-making, • You apply judgement and don’t rely on AI outputs blindly, • Strong analytical mindset with the ability to translate data into action quickly, • Comfortable operating across strategy and execution at the same time, • Experience working cross‑functionally with Sales, Marketing Ops, and Product We want you to feel supported, connected, and ready to grow. Our global benefits package generally includes equity, a wellbeing benefit, a WFH equipment allowance, and an annual Learning & Development stipend. Join a diverse team where you can do your best work. Full benefits may differ per location. If you would like to learn more about location‑specific benefits, please refer to our Global Miro benefits board. Miro is a visual workspace for innovation that enables distributed teams of any size to build the next big thing. The platform's infinite canvas enables teams to lead engaging workshops and meetings, design products, brainstorm ideas, and more. Miro, co‑headquartered in San Francisco and Amsterdam, serves more than 100 M users and 250 000 companies collaborate in the Innovation Workspace. Miro was founded in 2011 and currently has more than 1 600 employees in 13 hubs around the world. We are a team of dreamers. We look for individuals who dream big, work hard, and above all stay humble. Collaboration is at the heart of what we do and through our work together we hope to create a supportive, welcoming, and innovative environment. We strive to play as a team to win the world and create a better version of ourselves every day. If this sounds like something that excites you, we want to hear from you! • Youtube: @lifeatmiro, • Blog: careers/life-at-miro/all/, • Instagram: mirohq/ At Miro, we strive to create and foster an environment of belonging and collaboration across cultural differences. Miro’s mission — Empower teams to create the next big thing — is how we think about our product, people, and culture. We believe that creating big things requires diverse and inclusive teams. Diversity invites all talent with different demography, identities and styles to step in, and inclusion invites them to step closer together. Every day, we are working to build a more diverse Miro, cultivate a sense of belonging for future and current Mironeers around the world, and foster an environment where everyone can collaborate and embrace differences. Miro handles and uses personal data of job applicants in line with its Recruitment Privacy Policy found here. #J-18808-Ljbffr

We’re on a mission to protect society from fraud and money laundering. We’ve already protected over 3 million people through life’s big transactions. Fraud and regulation are rising, costing the UK economy over £100bn every year; this makes it more difficult for businesses to protect themselves and their clients - individuals like you and me - from fraud and money laundering. Our co-founders Olly and Jack were led to this area when a friend was defrauded of £25K when buying their first property. At the time, anti-fraud technology didn’t exist, which meant that completing the anti-fraud checks required in these processes was largely manual. These big life moments should be exciting, but instead are often confusing and scary due to the painful process of completing these paper-based checks and the risk of fraud. Thirdfort helps businesses to facilitate these anti fraud checks so that individuals know they can transact safely and seamlessly with professionals during these big transactions. Our anti-fraud platform provides a secure way for professionals in regulated sectors like Lawyers, Estate Agents and Accountants to transfer funds and verify sensitive information through app based document checks, facial recognition and open banking. Over 1,500 businesses now trust Thirdfort to verify their clients. We are FCA regulated and have raised over $33m in capital from leading Fintech investors Breega and Element Ventures, as well as the founders of Zoopla, Funding Circle, Comply Advantage, Tessian, Fenergo and Fidel. We don’t need someone to keep our CRM tidy. We need someone to build the machine that supports our go-to-market strategy. As our GTM Engineer, you’ll sit in the TechOps team, alongside the people rethinking how Thirdfort operates with AI and automation, and embed day-to-day with our commercial teams (Sales, Marketing, Customer Success). You’ll own the commercial tech stack end to end: Salesforce at the centre, with HubSpot and Zendesk in constant conversation with it, the data that flows through them, and increasingly the automations and AI agents that make manual work just run. Keeping the stack healthy is table stakes. Inventing what runs on top of it is the job. If your instinct when you see a manual process is “I could build something that does this ten times better”... keep reading. • Build the GTM machine: design and ship workflow automations and AI agents across the commercial funnel - enrichment, routing, handoffs, reporting - so work that used to be manual just runs. Pick the right tool for each job (native Salesforce, n8n, APIs, LLMs) and know when to let an automation run and when to keep a human in the loop., • Own Salesforce and the commercial tech stack: config, fields, layouts, flows, permissions, security, and platform health, reaching for Apex when needed. You keep the platform coherent while constantly improving it., • Treat commercial data as a product: hygiene rules, deduplication, data integrity standards, and audit/remediation across commercial systems, because your systems are only as good as what flows through them., • Run the BAU engine: own the day-to-day support queue for the commercial stack, triaging, fixing and communicating clearly., • Deliver commercial tooling projects to a defined scope and timeline, partnering with commercial leadership on what the stack should become., • Make handoffs disappear: build the connective tissue between Marketing, Sales, and CS, so the baton passes cleanly without anyone translating by hand., • Shape Thirdfort’s AI agenda: partner with the TechOps Lead, act as an AI champion for the commercial teams, and bring GTM lessons back into the central TechOps function., • Experience in GTM, Revenue Operations, or an adjacent technical role. Ideally 2+ years in a high-growth SaaS environment, with a track record of improving how commercial teams work through systems, not just supporting them., • Evidence you’ve built things. Automations, integrations, agents, internal tools, systems that did not exist before, and that other people rely on. Tell us about them., • Hands‑on Salesforce administration. You’ve owned an org (not just used one), you go deep on the back end (config, flows, permissions, platform health), and are familiar with Apex., • Comfortable stitching tools together. APIs, webhooks, no‑code platforms (n8n, Make, Zapier or similar), and light scripting, where it earns its place. You've worked hands‑on across a modern GTM stack - CRM, enrichment, sales engagement, conversation intelligence, AI workflow tools - and you pick up new systems fast., • Fluent with AI tools and already using them to move faster. Bonus points if you’ve built AI into operational workflows (enrichment, automated QA, agents) and can discuss the impact they’ve had., • A systems thinker who sees processes as things to be redesigned, not just maintained - who designs for data capture, edge cases and the people who live in the process, and who knows when a problem deserves a fast, bespoke build versus a durable, long‑term solution., • Real attention to detail and a low tolerance for messy data., • A self‑starter who owns the outcome, not just the ticket. You balance a real BAU workload with projects and builds without someone sequencing your week for you, and you’re comfortable operating as the sole owner of these systems with the backing of TechOps rather than a team of admins around you., • A clear communicator who’s at home with both commercial and technical people, turning “we wish we could…” into a system that does it. Driven by our values, our culture promotes a collaborative and open environment where Thirdforters can take ownership, have impact, and feel empowered when it comes to their growth and development. We understand the importance of our teams' wellbeing and recognise a one‑size‑fits‑all approach rarely works, that's why we aim to provide the flexibility individuals need to work in the way that suits them, and their families, best. • Compensation: £45,000 - £65,000, • Flexible Working Hours, • Enhanced parental leave, • Annual leave allowance of 26 days, increasing to 30 with tenure and the option to buy additional days, • Work from home allowance, • Enhanced sick leave, • Private healthcare with our provider, AXA, • Regular company and team socials, • Uncapped budget for personal development, • Share options for all UK employees, • Wellness budget We're committed to building an inclusive, equitable and diverse culture where everyone has a chance to make a difference. We're purposefully building a team of problem‑solvers that reflect our values — which is why we hire from all backgrounds. If you're a curious, kind individual who takes ownership, you'll be a great Thirdforter. If you require any reasonable adjustments during the application or interview process, please let your dedicated Talent Partner know and we'll do our best to accommodate. #J-18808-Ljbffr

Who are we? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! About North: North is Cohere's cutting-edge AI workspace platform, designed to revolutionize the way enterprises utilize AI. It offers a secure and customizable environment, allowing companies to deploy AI while maintaining control over sensitive data. North integrates seamlessly with existing workflows, providing a trusted platform that connects AI agents with workplace tools and applications. Why this role: The Data Abstractions & Tools team is the group inside North responsible for how users bring their data into the platform and put it to work. We own the systems that let users upload, organize, and share their files and knowledge bases, the framework for extending agents with skills and third-party integrations, and the data-sync pipeline that connects enterprise data sources to North's agents. North connects to a growing set of external tools and data sources so its agents can act on a user's real workflow. This role owns the integration pipeline end-to-end: adding new integrations to the platform, helping other engineers do the same, and becoming the owner of the process that makes that repeatable. You will also create the evals and tests that make sure those integrations work as expected and keep working as the platform evolves. In this role, you will: Build new integrations (tools) on the North agentic platform, and maintain the ones already in production. Own the integration pipeline: the process for adding a new tool, from design to shipping to ongoing maintenance. Help other engineers add integrations of their own, and raise the bar for how the team does it. Create evals and tests to make sure integrations work as expected and alert on regressions. Tune tool descriptions to improve performance based on feedback and evals. Use AI actively in your work, while staying accountable for the quality and reliability of what you ship. You may be a good fit if: You have shipped production code and are comfortable building integrations against external APIs. You have a background in evaluating agentic systems (ideal), or at minimum know what an eval is and are comfortable with prompt engineering and tool-description tuning. You excel in fast-paced environments and can execute while priorities are a moving target. You bring high agency: you learn quickly and drive change without waiting for perfect instructions. You've owned things end-to-end before and care about the quality of what ships, not just that it shipped. You enjoy helping other engineers succeed, not just shipping your own work. Working Location: This role can be based remotely or from one of our office locations listed on the job description - there is no minimum in-office qualification requirement. We care most about hiring exceptional people regardless of locations, though please check the location listed on the posting for guidance around the core time zone or working hours alignment expected for the role. A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch. Full health and dental benefits, including a separate budget for mental health. RRSP matching, 401K, Pension Scheme. 100% Parental Leave top-up for up to 6 months, for either parent. Annual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit. Education & learning stipend for conferences, courses, and coaching. 6 weeks of paid vacation (30 working days!) Budget for traveling to other offices if you are remote, plus an annual company offsite. Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon. For those in the office: a daily lunch program, plenty of snacks, and regular community and social events. For those not near an office: a co-working benefit so you can work alongside others in your city. Everyone receives a $500 home office stipend to set up your workspace properly. If any of the above doesn’t line up exactly with your experience, we still encourage you to apply. We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit Accommodations Request Form, and we will work together to meet your needs. We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider. #J-18808-Ljbffr